{"id":16622,"date":"2020-10-19T19:11:00","date_gmt":"2020-10-19T17:11:00","guid":{"rendered":"https:\/\/ritme.com\/webinar-mipar-comment-ameliorer-la-qualite-des-donnees-dans-lanalyse-dimages-histologiques\/"},"modified":"2021-06-25T16:16:03","modified_gmt":"2021-06-25T14:16:03","slug":"mipar-webinar-wie-man-die-datenqualitat-in-der-histologischen-bildanalyse-verbessert","status":"publish","type":"post","link":"https:\/\/ritme.com\/de\/mipar-webinar-wie-man-die-datenqualitat-in-der-histologischen-bildanalyse-verbessert\/","title":{"rendered":"MIPAR Webinar – Wie man die Datenqualit\u00e4t in der histologischen Bildanalyse verbessert"},"content":{"rendered":"\n

Zweck des Webinars<\/h2>\n\n\n\n

Die F\u00e4rbung von Muskelfasern mit H\u00e4matoxylin und Eosin (H&E) ist eine beliebte Methode zur Quantifizierung der Morphologie von Gewebeschnitten. Insbesondere wird es zur Messung des Durchmessers von Myofasern sowie zur Klassifizierung von degenerierten und regenerierten Zelltypen verwendet. Diese Analyse wird h\u00e4ufig manuell durchgef\u00fchrt, was zeitaufw\u00e4ndig ist und zu Benutzerfehlern f\u00fchrt. In diesem Webinar wird eine auf Deep Learning basierende L\u00f6sung zur Automatisierung des Workflows und zur Verbesserung der Datenqualit\u00e4t vorgestellt und gezeigt, wie k\u00fcnstliche Intelligenz trainiert und angewendet wird.<\/p>\n\n\n\n

Der Lautsprecher<\/h2>\n\n\n\n
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INTERVENANT<\/h3>\n\n\n\n

PAVEL SUL | CTO – MIPAR IMAGE ANALYSIS<\/em><\/h2>\n\n\n\n

Pavel studierte biomedizinische Technik an der Ohio State University in Columbus, Ohio. Im Jahr 2017 hat er sein Studium zur\u00fcckgestellt, um dem MIPAR beizutreten. Seine Arbeit konzentriert sich auf die praktische Anwendung von k\u00fcnstlicher Intelligenz im Bereich Computer Vision bei der Anwendung in der Materialwissenschaft und biomedizinischen Forschung.<\/p>\n<\/div><\/section>\n<\/div><\/div>\n<\/div><\/section>\n\n\n\n

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REGISTRIEREN<\/a><\/div>\n<\/div>\n<\/div><\/section>\n","protected":false},"excerpt":{"rendered":"

In diesem Webinar wird eine auf Deep Learning basierende L\u00f6sung zur Verbesserung der Datenqualit\u00e4t vorgestellt.<\/p>\n","protected":false},"author":2,"featured_media":17047,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"_uag_custom_page_level_css":"","footnotes":""},"categories":[606],"tags":[786,807,789],"class_list":["post-16622","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-losungen-de","tag-analyse-dimages-de","tag-histologie-de","tag-mipar-de"],"acf":[],"yoast_head":"\nMIPAR Webinar - Wie man die Datenqualit\u00e4t in der histologischen Bildanalyse verbessert - RITME<\/title>\n<meta name=\"description\" content=\"In diesem Webinar wird eine auf Deep Learning basierende L\u00f6sung zur Verbesserung der Datenqualit\u00e4t vorgestellt.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, 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