{"id":2556,"date":"2023-01-13T09:24:12","date_gmt":"2023-01-13T09:24:12","guid":{"rendered":"https:\/\/medgift.hevs.ch\/wordpress\/?p=2556"},"modified":"2023-01-13T09:24:14","modified_gmt":"2023-01-13T09:24:14","slug":"article-on-color-augmentation-published-in-pathology-informatics","status":"publish","type":"post","link":"https:\/\/medgift.hevs.ch\/wordpress\/article-on-color-augmentation-published-in-pathology-informatics\/","title":{"rendered":"Article on color augmentation published in  Pathology Informatics"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Our work on \u201c<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2153353922007830\">Data-driven color augmentation for H&amp;E stained images in computational pathology<\/a>\u201c, led by Niccol\u00f2 Marini, et al.\u00a0has been published in the Elsevier Journal of Pathology Informatics.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In this work, we present a method to improve the efficiency of color augmentation methods by increasing the reliability of the augmented samples used for training computational pathology models. During CNN training, a database including over 2 million H&amp;E color variations collected from private and public datasets is used as a reference to discard augmented data with color distributions that do not correspond to realistic data.\u00a0<br><br>The GitHub repository with the code is available online : <a href=\"https:\/\/lnkd.in\/eY8byYcR\">https:\/\/lnkd.in\/eY8byYcR<\/a> ,<br><br>and the database including stain vectors: <a href=\"https:\/\/lnkd.in\/eNf3bnTu\">https:\/\/lnkd.in\/eNf3bnTu<\/a><\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"948\" height=\"1024\" src=\"https:\/\/medgift.hevs.ch\/wordpress\/wp-content\/uploads\/2023\/01\/1673421195481-1-948x1024.jpeg\" alt=\"\" class=\"wp-image-2558\" srcset=\"https:\/\/medgift.hevs.ch\/wordpress\/wp-content\/uploads\/2023\/01\/1673421195481-1-948x1024.jpeg 948w, https:\/\/medgift.hevs.ch\/wordpress\/wp-content\/uploads\/2023\/01\/1673421195481-1-278x300.jpeg 278w, https:\/\/medgift.hevs.ch\/wordpress\/wp-content\/uploads\/2023\/01\/1673421195481-1-768x830.jpeg 768w, https:\/\/medgift.hevs.ch\/wordpress\/wp-content\/uploads\/2023\/01\/1673421195481-1.jpeg 1422w\" sizes=\"auto, (max-width: 706px) 89vw, (max-width: 767px) 82vw, 740px\" \/><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>Our work on \u201cData-driven color augmentation for H&amp;E stained images in computational pathology\u201c, led by Niccol\u00f2 Marini, et al.\u00a0has been published in the Elsevier Journal of Pathology Informatics. In this work, we present a method to improve the efficiency of color augmentation methods by increasing the reliability of the augmented samples used for training computational &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/medgift.hevs.ch\/wordpress\/article-on-color-augmentation-published-in-pathology-informatics\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Article on color augmentation published in  Pathology Informatics&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-2556","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"jetpack_featured_media_url":"","jetpack_shortlink":"https:\/\/wp.me\/p8AP2d-Fe","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/medgift.hevs.ch\/wordpress\/wp-json\/wp\/v2\/posts\/2556","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/medgift.hevs.ch\/wordpress\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/medgift.hevs.ch\/wordpress\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/medgift.hevs.ch\/wordpress\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/medgift.hevs.ch\/wordpress\/wp-json\/wp\/v2\/comments?post=2556"}],"version-history":[{"count":2,"href":"https:\/\/medgift.hevs.ch\/wordpress\/wp-json\/wp\/v2\/posts\/2556\/revisions"}],"predecessor-version":[{"id":2560,"href":"https:\/\/medgift.hevs.ch\/wordpress\/wp-json\/wp\/v2\/posts\/2556\/revisions\/2560"}],"wp:attachment":[{"href":"https:\/\/medgift.hevs.ch\/wordpress\/wp-json\/wp\/v2\/media?parent=2556"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/medgift.hevs.ch\/wordpress\/wp-json\/wp\/v2\/categories?post=2556"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/medgift.hevs.ch\/wordpress\/wp-json\/wp\/v2\/tags?post=2556"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}