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Use of a convolutional neural network-based mammographic evaluation to predict breast cancer recurrence among women with hormone receptor-positive operable breast cancer.

Julia E McGuinnessVicky RoSimukayi MutasaSamuel PanJianhua HuMeghna S TrivediMelissa K AccordinoKevin KalinskyDawn L HershmanRichard S HaKatherine D Crew
Published in: Breast cancer research and treatment (2022)
Short-term change in the CNN-based breast cancer risk model on adjuvant endocrine therapy predicts breast cancer relapse, and warrants further evaluation in prospective studies.
Keyphrases
  • breast cancer risk
  • convolutional neural network
  • deep learning
  • early stage
  • free survival
  • stem cells
  • case control