{"id":10091,"date":"2024-01-17T13:41:17","date_gmt":"2024-01-17T13:41:17","guid":{"rendered":"https:\/\/cc.eurohpc.pl\/?page_id=10091"},"modified":"2024-01-31T13:29:09","modified_gmt":"2024-01-31T13:29:09","slug":"icm-project-1-en","status":"publish","type":"page","link":"https:\/\/cc.eurohpc.pl\/index.php\/en\/icm-project-1-en\/","title":{"rendered":"ICM project 1 en"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"10091\" class=\"elementor elementor-10091\" data-elementor-post-type=\"page\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-61fd49b elementor-section-full_width elementor-section-height-default elementor-section-height-default\" data-id=\"61fd49b\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;slideshow&quot;,&quot;background_slideshow_gallery&quot;:[{&quot;id&quot;:6179,&quot;url&quot;:&quot;https:\\\/\\\/cc.eurohpc.pl\\\/wp-content\\\/uploads\\\/2022\\\/06\\\/Group-26683.png&quot;}],&quot;background_slideshow_loop&quot;:&quot;yes&quot;,&quot;background_slideshow_slide_duration&quot;:5000,&quot;background_slideshow_slide_transition&quot;:&quot;fade&quot;,&quot;background_slideshow_transition_duration&quot;:500}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-249afb0\" data-id=\"249afb0\" data-element_type=\"column\" data-e-type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-8bdb392 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"8bdb392\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-063864e\" data-id=\"063864e\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-3c22da8\" data-id=\"3c22da8\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-0103632 elementor-hidden-desktop elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"0103632\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-0805754\" data-id=\"0805754\" data-element_type=\"column\" data-e-type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;gradient&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-bbbd524 elementor-widget__width-initial elementor-widget-tablet__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"bbbd524\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><strong>PH.D. NORBERT KAPI\u0143SKI<\/strong><br \/>INTERDISCIPLINARY CENTRE FOR MATHEMATICAL AND COMPUTER MODELLING,<br \/>WARSAW UNIVERSITY<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-7d8542e\" data-id=\"7d8542e\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-227c162 elementor-hidden-tablet elementor-hidden-mobile elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"227c162\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;slideshow&quot;,&quot;background_slideshow_gallery&quot;:[],&quot;background_slideshow_loop&quot;:&quot;yes&quot;,&quot;background_slideshow_slide_duration&quot;:5000,&quot;background_slideshow_slide_transition&quot;:&quot;fade&quot;,&quot;background_slideshow_transition_duration&quot;:500}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-77bf2c8 elementor-hidden-tablet elementor-hidden-mobile\" data-id=\"77bf2c8\" data-element_type=\"column\" data-e-type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;gradient&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-21aad33 elementor-widget__width-initial elementor-widget-tablet__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"21aad33\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: left;\"><strong>PH.D. NORBERT KARPI\u0143SKI<\/strong><br \/>INTERDISCIPLINARY CENTRE FOR MATHEMATICAL AND COMPUTER MODELLING,<br \/>WARSAW UNIVERSITY<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-0f3c8eb\" data-id=\"0f3c8eb\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-76dc60c elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"76dc60c\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-23a5349\" data-id=\"23a5349\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-b0843bc elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"b0843bc\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><strong>Mortality prediction and pathology detection in thoracic imaging screening using deep machine learning techniques<\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-a7fa65e\" data-id=\"a7fa65e\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-9602db0 elementor-section-full_width elementor-section-height-default elementor-section-height-default\" data-id=\"9602db0\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-b5d0dba\" data-id=\"b5d0dba\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5a071af elementor-nav-menu__align-center elementor-nav-menu__text-align-center elementor-nav-menu--dropdown-tablet elementor-widget elementor-widget-nav-menu\" data-id=\"5a071af\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;layout&quot;:&quot;horizontal&quot;,&quot;submenu_icon&quot;:{&quot;value&quot;:&quot;&lt;svg aria-hidden=\\&quot;true\\&quot; class=\\&quot;e-font-icon-svg e-fas-caret-down\\&quot; viewBox=\\&quot;0 0 320 512\\&quot; xmlns=\\&quot;http:\\\/\\\/www.w3.org\\\/2000\\\/svg\\&quot;&gt;&lt;path d=\\&quot;M31.3 192h257.3c17.8 0 26.7 21.5 14.1 34.1L174.1 354.8c-7.8 7.8-20.5 7.8-28.3 0L17.2 226.1C4.6 213.5 13.5 192 31.3 192z\\&quot;&gt;&lt;\\\/path&gt;&lt;\\\/svg&gt;&quot;,&quot;library&quot;:&quot;fa-solid&quot;}}\" data-widget_type=\"nav-menu.default\">\n\t\t\t\t\t\t\t\t<nav aria-label=\"Menu\" class=\"elementor-nav-menu--main elementor-nav-menu__container elementor-nav-menu--layout-horizontal e--pointer-none\">\n\t\t\t\t<ul id=\"menu-1-5a071af\" class=\"elementor-nav-menu\"><li class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-10139\"><a href=\"#objective\" class=\"elementor-item elementor-item-anchor\">PROJECT OBJECTIVE<\/a><\/li>\n<li class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-10140\"><a href=\"#tasks\" class=\"elementor-item elementor-item-anchor\">TASKS FOR THE SUPERCOMPUTER<\/a><\/li>\n<li class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-10141\"><a href=\"#benefits\" class=\"elementor-item elementor-item-anchor\">BENEFITS OF COOPERATION<\/a><\/li>\n<li class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-10142\"><a href=\"#efects\" class=\"elementor-item elementor-item-anchor\">EFFECTS<\/a><\/li>\n<li class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-10143\"><a href=\"#recomendation\" class=\"elementor-item elementor-item-anchor\">RECOMMENDATION<\/a><\/li>\n<\/ul>\t\t\t<\/nav>\n\t\t\t\t\t\t<nav class=\"elementor-nav-menu--dropdown elementor-nav-menu__container\" aria-hidden=\"true\">\n\t\t\t\t<ul id=\"menu-2-5a071af\" class=\"elementor-nav-menu\"><li class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-10139\"><a href=\"#objective\" class=\"elementor-item elementor-item-anchor\" tabindex=\"-1\">PROJECT OBJECTIVE<\/a><\/li>\n<li class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-10140\"><a href=\"#tasks\" class=\"elementor-item elementor-item-anchor\" tabindex=\"-1\">TASKS FOR THE SUPERCOMPUTER<\/a><\/li>\n<li class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-10141\"><a href=\"#benefits\" class=\"elementor-item elementor-item-anchor\" tabindex=\"-1\">BENEFITS OF COOPERATION<\/a><\/li>\n<li class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-10142\"><a href=\"#efects\" class=\"elementor-item elementor-item-anchor\" tabindex=\"-1\">EFFECTS<\/a><\/li>\n<li class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-10143\"><a href=\"#recomendation\" class=\"elementor-item elementor-item-anchor\" tabindex=\"-1\">RECOMMENDATION<\/a><\/li>\n<\/ul>\t\t\t<\/nav>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-f77f66e elementor-section-full_width elementor-section-height-default elementor-section-height-default\" data-id=\"f77f66e\" data-element_type=\"section\" data-e-type=\"section\" id=\"cel\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-c93fbc7\" data-id=\"c93fbc7\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-e80c941 elementor-widget-tablet__width-initial elementor-absolute elementor-hidden-mobile elementor-widget elementor-widget-image\" data-id=\"e80c941\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_position&quot;:&quot;absolute&quot;}\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"269\" height=\"487\" src=\"https:\/\/cc.eurohpc.pl\/wp-content\/uploads\/2022\/06\/Mask-Group-17.png\" class=\"attachment-large size-large wp-image-6182\" alt=\"\" srcset=\"https:\/\/cc.eurohpc.pl\/wp-content\/uploads\/2022\/06\/Mask-Group-17.png 269w, https:\/\/cc.eurohpc.pl\/wp-content\/uploads\/2022\/06\/Mask-Group-17-166x300.png 166w\" sizes=\"(max-width: 269px) 100vw, 269px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-e1c5d4e\" data-id=\"e1c5d4e\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-af5f629 elementor-widget elementor-widget-heading\" data-id=\"af5f629\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">PROJECT OBJECTIVE<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3fea79c elementor-widget elementor-widget-heading\" data-id=\"3fea79c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Problem<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c899d95 elementor-widget elementor-widget-text-editor\" data-id=\"c899d95\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>The project concerns the use of artificial intelligence techniques, including deep machine learning methods, to analyse medical X-ray and low-dose CT images from screening for early detection of pathological changes and prediction of risk of death.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-62bf25c elementor-widget elementor-widget-heading\" data-id=\"62bf25c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Project objective<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c6d043e elementor-widget elementor-widget-text-editor\" data-id=\"c6d043e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>The aim of the project is to demonstrate that with the help of Trustworthy AI techniques applied to medical image analysis in screening, early detection of pathological changes and assessment of risk of death is possible. The main tasks of the project include the development and validation of artificial intelligence models performing the above tasks and the development of methods for the explainability of model results, in particular with regard to the influence of low-level and high-level image information.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-10515e4\" data-id=\"10515e4\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5aec057 elementor-widget-tablet__width-initial elementor-absolute elementor-hidden-mobile elementor-widget elementor-widget-image\" data-id=\"5aec057\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_position&quot;:&quot;absolute&quot;}\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"364\" height=\"398\" src=\"https:\/\/cc.eurohpc.pl\/wp-content\/uploads\/2022\/06\/Mask-Group-18.png\" class=\"attachment-large size-large wp-image-6183\" alt=\"\" srcset=\"https:\/\/cc.eurohpc.pl\/wp-content\/uploads\/2022\/06\/Mask-Group-18.png 364w, https:\/\/cc.eurohpc.pl\/wp-content\/uploads\/2022\/06\/Mask-Group-18-274x300.png 274w\" sizes=\"(max-width: 364px) 100vw, 364px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-5a9e3b8 elementor-section-full_width elementor-section-height-min-height elementor-section-height-default elementor-section-items-middle\" data-id=\"5a9e3b8\" data-element_type=\"section\" data-e-type=\"section\" id=\"zadania\" data-settings=\"{&quot;background_background&quot;:&quot;slideshow&quot;,&quot;background_slideshow_gallery&quot;:[{&quot;id&quot;:6180,&quot;url&quot;:&quot;https:\\\/\\\/cc.eurohpc.pl\\\/wp-content\\\/uploads\\\/2022\\\/06\\\/Group-26684.png&quot;}],&quot;background_slideshow_loop&quot;:&quot;yes&quot;,&quot;background_slideshow_slide_duration&quot;:5000,&quot;background_slideshow_slide_transition&quot;:&quot;fade&quot;,&quot;background_slideshow_transition_duration&quot;:500}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-8f3ab82\" data-id=\"8f3ab82\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-77b2154 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"77b2154\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-inner-column elementor-element elementor-element-e7e0821\" data-id=\"e7e0821\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-9446273 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"9446273\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>TASKS FOR THE SUPERCOMPUTER<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-38f1189 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"38f1189\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-0cfc31a\" data-id=\"0cfc31a\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-540978c elementor-widget elementor-widget-text-editor\" data-id=\"540978c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>01.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-f2dd875\" data-id=\"f2dd875\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-31b3852 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"31b3852\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-911328a elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"911328a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>The basic computing technology for deep machine learning methods, particularly in the field of convolutional neural networks (CNNs), is so-called tensor computing. One of the most powerful architectures implementing such computations is the graphics processing units (GPUs). Due to the abundance and size of the data, the size of models, and the need to iterate over multiple computing epochs, supercomputer-class solutions are best suited for this type of project, providing the computational power of GPUs, large host and GPU memory resources, and fast access to stored data and metadata resources.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-509105e elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"509105e\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-d99efa3\" data-id=\"d99efa3\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7909b3e elementor-widget elementor-widget-text-editor\" data-id=\"7909b3e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>02.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-733731a\" data-id=\"733731a\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7bc5d0e elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"7bc5d0e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3333e87 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"3333e87\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Issues investigated using AI techniques require large volumes of datasets and metadata (e.g. labels) for training and validation &#8211; often in the order of tens or even hundreds of thousands of images and associated records. In the case of medical imaging data from 3D imaging (e.g. CT scans), a single data sample is usually an entire imaging study (so-called series) of the order of 100 MB (e.g. 200 2D 512x512x2B images). A training set of tens of thousands of examinations is a data resource of several TB, and the process of training the model requires multiple uses of the full set. In addition, metadata, and in particular labels, are often assigned at the level of individual sections or individual pixels of an imaging study, requiring adequate database resources to efficiently store and search metadata resources that are several orders of magnitude larger than the number of studies themselves.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-016e038 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"016e038\" data-element_type=\"section\" data-e-type=\"section\" id=\"korzysci\" data-settings=\"{&quot;background_background&quot;:&quot;slideshow&quot;,&quot;background_slideshow_gallery&quot;:[{&quot;id&quot;:6181,&quot;url&quot;:&quot;https:\\\/\\\/cc.eurohpc.pl\\\/wp-content\\\/uploads\\\/2022\\\/06\\\/AdobeStock_326101400.png&quot;}],&quot;background_slideshow_loop&quot;:&quot;yes&quot;,&quot;background_slideshow_slide_duration&quot;:5000,&quot;background_slideshow_slide_transition&quot;:&quot;fade&quot;,&quot;background_slideshow_transition_duration&quot;:500}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-a351c29\" data-id=\"a351c29\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-8838cc5 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"8838cc5\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-65fb389\" data-id=\"65fb389\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-967096f elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"967096f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>BENEFITS OF COOPERATION WITH ICM UW<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-9ca010d\" data-id=\"9ca010d\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-b6534b7 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"b6534b7\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-2d3a940\" data-id=\"2d3a940\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1a995f9 elementor-widget elementor-widget-text-editor\" data-id=\"1a995f9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>The thoracic screening analysis task undertaken in the project was based on a data resource of 90,000 CT image series. Due to the size of the data and the complexity of the trained model, the issue required solving the following problems: efficient metadata management at the single image level (18 million) for experiment planning, efficient access to the datasets, efficient computation and a large GPU memory to accommodate the model and a sufficient number of data samples (so-called batch).<\/p><p>Using the Centre&#8217;s resources, all components of the model training process described above were achieved. Using high-speed data resources (SSD\/NVME) and in-memory databases (IMDB), a dedicated solution was prepared to integrate the database with the medical image storage system (PACS) for metadata management and image data addressing.<\/p><p>Rysy cluster based on NVIDIA V100 32GB GPU cards was used for the calculations, providing high computational performance and a large model memory resource. The calculations were implemented in Python in the TensorFlow environment.<\/p><p>Due to the high data access intensity (high ratio of data reading to computing time) and the large size of the training and validation set, it was necessary to provide data access from the GPU computing system in a hierarchical model.<\/p><p>Data was stored holistically in the Lustre file system (Tethys) and asynchronously allocated on the high-speed local resources (SSD\/NVME) of the computing cluster.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-41a23f0\" data-id=\"41a23f0\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-8fdb0a4 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"8fdb0a4\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-027e4d9\" data-id=\"027e4d9\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a4d9a02 elementor-widget elementor-widget-text-editor\" data-id=\"a4d9a02\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Thanks to the use of HPC infrastructure:<\/p><ul><li>the process of training models with higher complexity at higher batch-size values was enabled;<\/li><li>the response time of the metadata base was reduced by several orders of magnitude;<\/li><li>data access times have been reduced by several orders of magnitude.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-7923b09\" data-id=\"7923b09\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-c94d071 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"c94d071\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-c056b86\" data-id=\"c056b86\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-e756b3c elementor-widget elementor-widget-text-editor\" data-id=\"e756b3c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>The realisation of the calculations assumed in the project&#8217;s multiple experiments model only became time realistic due to the above infrastructure improvements.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-61e5e82\" data-id=\"61e5e82\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-556ce2b elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"556ce2b\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-d221c04\" data-id=\"d221c04\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a21999c elementor-widget elementor-widget-image\" data-id=\"a21999c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"20\" height=\"23\" src=\"https:\/\/cc.eurohpc.pl\/wp-content\/uploads\/2022\/06\/Polygon-3.png\" class=\"attachment-large size-large wp-image-6058\" alt=\"\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-2c59907\" data-id=\"2c59907\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-69a96dd elementor-widget elementor-widget-text-editor\" data-id=\"69a96dd\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>90 000 <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-d5ffcff\" data-id=\"d5ffcff\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-520d790 elementor-widget elementor-widget-text-editor\" data-id=\"520d790\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: left;\">IMAGING SERIES<strong><br \/><\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-8e17e7c elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"8e17e7c\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-25 elementor-top-column elementor-element elementor-element-12af8aa\" data-id=\"12af8aa\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-25 elementor-top-column elementor-element elementor-element-6a8aa37\" data-id=\"6a8aa37\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1eab4a1 elementor-widget elementor-widget-image\" data-id=\"1eab4a1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"20\" height=\"23\" src=\"https:\/\/cc.eurohpc.pl\/wp-content\/uploads\/2022\/06\/Polygon-3.png\" class=\"attachment-large size-large wp-image-6058\" alt=\"\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-25 elementor-top-column elementor-element elementor-element-f54c760\" data-id=\"f54c760\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ed6b2b9 elementor-widget elementor-widget-text-editor\" data-id=\"ed6b2b9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>18 milion<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-25 elementor-top-column elementor-element elementor-element-fcb2c72\" data-id=\"fcb2c72\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5fbd8c8 elementor-widget elementor-widget-text-editor\" data-id=\"5fbd8c8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: left;\">OF SINGLE IMAGES<strong><br \/><\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-fd20fa4 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"fd20fa4\" data-element_type=\"section\" data-e-type=\"section\" id=\"efekty\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-ff3fc20\" data-id=\"ff3fc20\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-9635566 elementor-widget elementor-widget-heading\" data-id=\"9635566\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">EFFECTS<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-12bdbc0 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"12bdbc0\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-4b14bc6\" data-id=\"4b14bc6\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-cc52058\" data-id=\"cc52058\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-43b63e1 elementor-widget elementor-widget-text-editor\" data-id=\"43b63e1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>It is possible to use the results of the project in practice and future implementation to clinical applications subject to extension of validation, demonstration of the credibility of the results and the embedding in measurable clinical benefits in terms of thoracic screening, with particular emphasis on the examination of lung cancer screening.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-f0cf102 elementor-section-height-min-height elementor-section-boxed elementor-section-height-default elementor-section-items-middle\" data-id=\"f0cf102\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-4cc81f8\" data-id=\"4cc81f8\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-8523910 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"8523910\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-570351e\" data-id=\"570351e\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-825990f elementor-widget elementor-widget-text-editor\" data-id=\"825990f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: center;\"><a style=\"color: #aa8523;\" href=\"https:\/\/cc.eurohpc.pl\/index.php\/skorzystali-z-naszych-uslug\/\">SEE 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elementor-top-section elementor-element elementor-element-d8d5360 elementor-section-height-min-height elementor-section-boxed elementor-section-height-default elementor-section-items-middle\" data-id=\"d8d5360\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-b30f078\" data-id=\"b30f078\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>PH.D. NORBERT KAPI\u0143SKIINTERDISCIPLINARY CENTRE FOR MATHEMATICAL AND COMPUTER MODELLING,WARSAW UNIVERSITY PH.D. NORBERT KARPI\u0143SKIINTERDISCIPLINARY CENTRE FOR MATHEMATICAL AND COMPUTER MODELLING,WARSAW UNIVERSITY Mortality prediction and pathology detection in thoracic imaging screening using deep machine learning techniques PROJECT OBJECTIVE Problem The project concerns the use of artificial intelligence techniques, including deep machine learning methods, to analyse medical X-ray&hellip;&nbsp;<a href=\"https:\/\/cc.eurohpc.pl\/index.php\/en\/icm-project-1-en\/\" rel=\"bookmark\">Dowiedz si\u0119 wi\u0119cej &raquo;<span class=\"screen-reader-text\">ICM project 1 en<\/span><\/a><\/p>\n","protected":false},"author":5,"featured_media":6179,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-templates\/template-pagebuilder-full-width.php","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"neve_meta_sidebar":"","neve_meta_container":"","neve_meta_enable_content_width":"","neve_meta_content_width":0,"neve_meta_title_alignment":"","neve_meta_author_avatar":"","neve_post_elements_order":"","neve_meta_disable_header":"","neve_meta_disable_footer":"","neve_meta_disable_title":"","footnotes":""},"class_list":["post-10091","page","type-page","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/cc.eurohpc.pl\/index.php\/wp-json\/wp\/v2\/pages\/10091","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cc.eurohpc.pl\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/cc.eurohpc.pl\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/cc.eurohpc.pl\/index.php\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/cc.eurohpc.pl\/index.php\/wp-json\/wp\/v2\/comments?post=10091"}],"version-history":[{"count":12,"href":"https:\/\/cc.eurohpc.pl\/index.php\/wp-json\/wp\/v2\/pages\/10091\/revisions"}],"predecessor-version":[{"id":10749,"href":"https:\/\/cc.eurohpc.pl\/index.php\/wp-json\/wp\/v2\/pages\/10091\/revisions\/10749"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cc.eurohpc.pl\/index.php\/wp-json\/wp\/v2\/media\/6179"}],"wp:attachment":[{"href":"https:\/\/cc.eurohpc.pl\/index.php\/wp-json\/wp\/v2\/media?parent=10091"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}