Domain generalization across tumor types, laboratories, and species — Insights from the 2022 edition of the Mitosis Domain Generalization Challenge-Reference-Cited by-同舟云学术

Domain generalization across tumor types, laboratories, and species — Insights from the 2022 edition of the Mitosis Domain Generalization Challenge

Published:2024-05 Issue: Volume:94 Page:103155
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

Aubreville Marc^ORCID,Stathonikos Nikolas,Donovan Taryn A.,Klopfleisch Robert,Ammeling Jonas,Ganz Jonathan,Wilm Frauke,Veta Mitko,Jabari Samir,Eckstein Markus,Annuscheit Jonas,Krumnow Christian,Bozaba Engin,Çayır Sercan,Gu Hongyan,Chen Xiang ‘Anthony’,Jahanifar Mostafa,Shephard Adam,Kondo Satoshi,Kasai Satoshi,Kotte Sujatha,Saipradeep V.G.,Lafarge Maxime W.,Koelzer Viktor H.,Wang Ziyue,Zhang Yongbing,Yang Sen,Wang Xiyue,Breininger Katharina,Bertram Christof A.

Publisher

Elsevier BV

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3. Radial prediction domain adaption classifier for the MIDOG 2022 challenge;Annuscheit,2023

4. MItosis DOmain generalization challenge 2022. Structured description of the challenge design;Aubreville,2022

5. Deep learning algorithms out-perform veterinary pathologists in detecting the mitotically most active tumor region;Aubreville;Sci. Rep.,2020

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