Mitosis domain generalization in histopathology images — The MIDOG challenge
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Published:2023-02
Issue:
Volume:84
Page:102699
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ISSN:1361-8415
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Container-title:Medical Image Analysis
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language:en
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Short-container-title:Medical Image Analysis
Author:
Aubreville MarcORCID, Stathonikos Nikolas, Bertram Christof A., Klopfleisch Robert, ter Hoeve Natalie, Ciompi Francesco, Wilm Frauke, Marzahl Christian, Donovan Taryn A., Maier Andreas, Breen Jack, Ravikumar Nishant, Chung Youjin, Park Jinah, Nateghi Ramin, Pourakpour Fattaneh, Fick Rutger H.J., Ben Hadj Saima, Jahanifar Mostafa, Shephard Adam, Dexl Jakob, Wittenberg Thomas, Kondo Satoshi, Lafarge Maxime W., Koelzer Viktor H., Liang Jingtang, Wang Yubo, Long Xi, Liu Jingxin, Razavi Salar, Khademi April, Yang Sen, Wang Xiyue, Erber Ramona, Klang Andrea, Lipnik Karoline, Bolfa Pompei, Dark Michael J., Wasinger Gabriel, Veta Mitko, Breininger Katharina
Subject
Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Reference64 articles.
1. A completely annotated whole slide image dataset of canine breast cancer to aid human breast cancer research;Aubreville;Sci. Data,2020 2. Mitosis domain generalization challenge;Aubreville,2021 3. Quantifying the scanner-induced domain gap in mitosis detection;Aubreville,2021 4. Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis,2022 5. Deep learning assisted mitotic counting for breast cancer;Balkenhol;Lab. Invest.,2019
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