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Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge.

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Bibliographic Details
Title: Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge.
Authors: Schmidt, Kendall1 (AUTHOR) kschmidt@acr.org, Bearce, Benjamin2,3 (AUTHOR), Chang, Ken2 (AUTHOR), Coombs, Laura1 (AUTHOR), Farahani, Keyvan4 (AUTHOR), Elbatel, Marawan5 (AUTHOR), Mouheb, Kaouther5 (AUTHOR), Marti, Robert5 (AUTHOR), Zhang, Ruipeng6,7 (AUTHOR), Zhang, Yao7 (AUTHOR), Wang, Yanfeng6,7 (AUTHOR), Hu, Yaojun8 (AUTHOR), Ying, Haochao8,9 (AUTHOR), Xu, Yuyang8,10 (AUTHOR), Testagrose, Conrad11 (AUTHOR), Demirer, Mutlu12 (AUTHOR), Gupta, Vikash12 (AUTHOR), Akünal, Ünal13 (AUTHOR), Bujotzek, Markus13 (AUTHOR), Maier-Hein, Klaus H.13 (AUTHOR)
Source: Medical Image Analysis. Jul2024, Vol. 95, pN.PAG-N.PAG. 1p.
Database: Academic Search Ultimate
Description
ISSN:13618415
DOI:10.1016/j.media.2024.103206