Mitosis domain generalization in histopathology images — The MIDOG challenge

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Bibliographic Details
Published in:	Medical Image Analysis Vol. 84; p. 102699
Main Authors:	Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopfleisch, Natalie ter Hoeve, Francesco Ciompi, Frauke Wilm, Christian Marzahl, Taryn A. Donovan, Andreas Maier, Jack Breen, Nishant Ravikumar, Youjin Chung, Jinah Park, Ramin Nateghi, Fattaneh Pourakpour, Rutger H.J. Fick, Saima Ben Hadj, Mostafa Jahanifar, Adam Shephard, Jakob Dexl, Thomas Wittenberg, Satoshi Kondo, Maxime W. Lafarge, Viktor H. Koelzer, Jingtang Liang, Yubo Wang, Xi Long, Jingxin Liu, Salar Razavi, April Khademi, Sen Yang, Xiyue Wang, Ramona Erber, Andrea Klang, Karoline Lipnik, Pompei Bolfa, Michael J. Dark, Gabriel Wasinger, Mitko Veta, Katharina Breininger
Format:	Journal Article
Language:	Japanese
Published:	Elsevier BV 01.02.2023
Subjects:	Algorithms Challenge Computer Graphics and Computer-Aided Design Computer Science - Computer Vision and Pattern Recognition Computer Vision and Pattern Recognition Computer Vision and Pattern Recognition (cs.CV) Deep Learning Domain generalization Electrical Engineering and Systems Science - Image and Video Processing FOS: Biological sciences FOS: Computer and information sciences FOS: Electrical engineering, electronic engineering, information engineering FOS: Physical sciences Health Informatics Histopathology Humans Image and Video Processing (eess.IV) Medical Physics (physics.med-ph) Mitosis Neoplasm Grading Physics - Medical Physics Prognosis Quantitative Biology - Quantitative Methods Quantitative Methods (q-bio.QM) Radboudumc 9: Rare cancers Pathology Radiological and Ultrasound Technology Radiology Nuclear Medicine and imaging
ISSN:	1361-8415
Online Access:	Get full text
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