Domain generalization across tumor types, laboratories, and species - Insights from the 2022 edition of the Mitosis Domain Generalization Challenge.
Aubreville M, Stathonikos N, Donovan TA, Klopfleisch R, Ammeling J, Ganz J, Wilm F, Veta M, Jabari S, Eckstein M, Annuscheit J, Krumnow C, Bozaba E, Çayır S, Gu H, Chen X', Jahanifar M, Shephard A, Kondo S, Kasai S, Kotte S, Saipradeep VG, Lafarge MW, Koelzer VH, Wang Z, Zhang Y, Yang S, Wang X, Breininger K, Bertram CA.
Aubreville M, et al.
Med Image Anal. 2024 May;94:103155. doi: 10.1016/j.media.2024.103155. Epub 2024 Mar 22.
Med Image Anal. 2024.
PMID: 38537415
Free article.
This work represents an overview of the challenge tasks, the algorithmic strategies employed by the participants, and potential factors contributing to their success. With an F(1) score of 0.764 for the top-performing team, we summarize that domain generalization across va …
This work represents an overview of the challenge tasks, the algorithmic strategies employed by the participants, and potential factors cont …
