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"Accounting for data variability in multi-institutional distributed deep ..."

Niranjan Balachandar et al. (2020)

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DOI: 10.1093/JAMIA/OCAA017

access: closed

type: Journal Article

metadata version: 2020-10-11

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  - https://dblp.org/rec/journals/jamia/BalachandarCKR20
Niranjan Balachandar, Ken Chang, Jayashree Kalpathy-Cramer, Daniel L. Rubin:
Accounting for data variability in multi-institutional distributed deep learning for medical imaging. J. Am. Medical Informatics Assoc. 27(5): 700-708 (2020)

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