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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| Title: | 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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| 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 |
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