CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting.

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Author
Graham, Simon
Vu, Quoc Dang
Jahanifar, Mostafa
Weigert, Martin
Schmidt, Uwe
Zhang, Wenhua
Zhang, Jun
Yang, Sen
Xiang, Jinxi
Wang, Xiyue
Affiliation
Graham S, Vu QD, Jahanifar M, Weigert M, Schmidt U, Zhang W, Zhang J, Yang S, Xiang J, Wang X, Rumberger JL, Baumann E, Hirsch P, Liu L, Hong C, Aviles-Rivero AI, Jain A, Ahn H, Hong Y, Azzuni H, Xu M, Yaqub M, Blache MC, Piégu B, Vernay B, Scherr T, Böhland M, Löffler K, Li J, Ying W, Wang C, Snead D, Raza SEA, Minhas F, Rajpoot NM; CoNIC Challenge Consortium.
Publication date
2023-12-13
Subject
Computational pathology
Deep learning
Nuclear recognition

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Abstract
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Citation
Graham S, Vu QD, Jahanifar M, Weigert M, Schmidt U, Zhang W, Zhang J, Yang S, Xiang J, Wang X, Rumberger JL, Baumann E, Hirsch P, Liu L, Hong C, Aviles-Rivero AI, Jain A, Ahn H, Hong Y, Azzuni H, Xu M, Yaqub M, Blache MC, Piégu B, Vernay B, Scherr T, Böhland M, Löffler K, Li J, Ying W, Wang C, Snead D, Raza SEA, Minhas F, Rajpoot NM; CoNIC Challenge Consortium.
Type
Article
Handle
http://hdl.handle.net/20.500.14200/4621
Additional Links
10.1016/j.media.2023.103047
DOI
10.1016/j.media.2023.103047
PMID
38157647
Journal
Medical Image Analysis
Publisher
Med Image Anal
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