{"id":12081,"date":"2023-07-25T10:35:01","date_gmt":"2023-07-25T10:35:01","guid":{"rendered":"https:\/\/projectsofar.info\/aisuperior\/?post_type=news&#038;p=12081"},"modified":"2023-09-28T10:53:59","modified_gmt":"2023-09-28T10:53:59","slug":"ai-superior-boehringer-ingelheim-publish-a-joint-survey-paper-for-midl-2023","status":"publish","type":"news","link":"https:\/\/staging.aisuperior.com\/de\/news\/ai-superior-boehringer-ingelheim-publish-a-joint-survey-paper-for-midl-2023\/","title":{"rendered":"AI Superior &#038; Boehringer Ingelheim Publish a Joint Survey Paper for MIDL 2023"},"content":{"rendered":"<p>We are proud to announce our recent collaboration with\u00a0<a href=\"https:\/\/www.boehringer-ingelheim.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">Boehringer Ingelheim<\/a>\u00a0on a survey paper titled \u201cA comparative evaluation of image-to-image translation methods for stain transfer in histopathology\u201d, that has been accepted at the prestigious Medical Imaging with Deep Learning (MIDL 2023) conference.<\/p>\n<p>Our study thoroughly evaluates twelve stain transfer approaches, consisting of three traditional and nine GAN-based image processing methods. Relying on complementary quantitative measures and visual evaluations by pathologists, the research compares the strengths and weaknesses of each stain transfer approach,\u00a0providing valuable insights for advancing histopathology and empowering researchers and medical professionals to make informed decisions.<\/p>\n<p>This collaborative effort marks a significant milestone in the application of AI and deep learning in histopathology and paves the way for future advancements in medical imaging and diagnostics.<\/p>\n<p>The survey paper is now available for download\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2303.17009\">here<\/a>\u00a0and, in line with our commitment to fostering collaboration and progress, we are delighted to release the code for the comparative evaluation framework under an open-source license.<\/p>\n","protected":false},"author":2,"featured_media":12082,"template":"","meta":{"inline_featured_image":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}}},"news_categories":[],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.9.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>AI Superior &amp; Boehringer Ingelheim Publish a Joint Survey Paper for MIDL 2023 - aisuperior<\/title>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI Superior &amp; Boehringer Ingelheim Publish a Joint Survey Paper for MIDL 2023 - aisuperior\" \/>\n<meta property=\"og:description\" content=\"We are proud to announce our recent collaboration with\u00a0Boehringer Ingelheim\u00a0on a survey paper titled \u201cA comparative evaluation of image-to-image translation methods for stain transfer in histopathology\u201d, that has been accepted at the prestigious Medical Imaging with Deep Learning (MIDL 2023) conference. 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