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• Development and validation of a deep learning model for detection of breast cancers in mammography from multi-institutional datasets.

  Authors:Daiju Ueda, Akira Yamamoto, Naoyoshi Onoda, Tsutomu Takashima, Satoru Noda, Shinichiro Kashiwagi, et al.From:PLoS ONE (Vol. 17, Issue 3) Peer-Reviewed

  Mar. 24, 20226,764 words Report 1380LObjectives The objective of this study was to develop and validate a state-of-the-art, deep learning (DL)-based model for detecting breast cancers on mammography. Methods Mammograms in a hospital development...