{"id":12081,"date":"2023-07-25T10:35:01","date_gmt":"2023-07-25T10:35:01","guid":{"rendered":"https:\/\/projectsofar.info\/aisuperior\/?post_type=news&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:\/\/aisuperior.com\/de\/news\/ai-superior-boehringer-ingelheim-publish-a-joint-survey-paper-for-midl-2023\/","title":{"rendered":"AI Superior und Boehringer Ingelheim ver\u00f6ffentlichen gemeinsames Umfragepapier f\u00fcr MIDL 2023"},"content":{"rendered":"

Wir sind stolz, unsere j\u00fcngste Zusammenarbeit bekannt zu geben mit\u00a0Boehringer Ingelheim<\/a>\u00a0an einem \u00dcbersichtsartikel mit dem Titel \u201eEine vergleichende Bewertung von Bild-zu-Bild-\u00dcbersetzungsmethoden f\u00fcr die Flecken\u00fcbertragung in der Histopathologie\u201c, der auf der renommierten Konferenz Medical Imaging with Deep Learning (MIDL 2023) angenommen wurde.<\/p>\n

Unsere Studie untersucht zw\u00f6lf Farb\u00fcbertragungsans\u00e4tze gr\u00fcndlich, darunter drei traditionelle und neun GAN-basierte Bildverarbeitungsmethoden. Basierend auf erg\u00e4nzenden quantitativen Messungen und visuellen Bewertungen durch Pathologen vergleicht die Forschung die St\u00e4rken und Schw\u00e4chen jedes Farb\u00fcbertragungsansatzes und liefert wertvolle Erkenntnisse f\u00fcr die Weiterentwicklung der Histopathologie und erm\u00f6glicht Forschern und Medizinern, fundierte Entscheidungen zu treffen.<\/p>\n

Diese Zusammenarbeit stellt einen wichtigen Meilenstein in der Anwendung von KI und Deep Learning in der Histopathologie dar und ebnet den Weg f\u00fcr zuk\u00fcnftige Fortschritte in der medizinischen Bildgebung und Diagnostik.<\/p>\n

Das Umfragepapier steht jetzt zum Download bereit\u00a0Hier<\/a>\u00a0und im Einklang mit unserem Engagement zur F\u00f6rderung von Zusammenarbeit und Fortschritt freuen wir uns, den Code f\u00fcr das vergleichende Bewertungsframework unter einer Open-Source-Lizenz zu ver\u00f6ffentlichen.<\/p>","protected":false},"author":2,"featured_media":12082,"template":"","meta":{"_acf_changed":false,"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":"","ast-disable-related-posts":"","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-opacity":"","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-opacity":"","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-opacity":"","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-opacity":"","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-opacity":"","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-opacity":"","overlay-gradient":""}}},"news_categories":[],"class_list":["post-12081","news","type-news","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"\nAI Superior & Boehringer Ingelheim Publish a Joint Survey Paper for MIDL 2023 - aisuperior<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/aisuperior.com\/de\/news\/ai-superior-boehringer-ingelheim-publish-a-joint-survey-paper-for-midl-2023\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI Superior & 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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