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An end-to-end deep learning model can detect the gist of the abnormal in prior mammograms as perceived by experienced radiologists.

Ziba GandomkarErnest U. EkpoSarah J. LewisMoayyad E. SuleimanSomphone SiviengphanomTong LiPatrick C. Brennan
Published in: Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2021)
Keyphrases
  • end to end
  • prior knowledge
  • deep learning
  • real world
  • text mining
  • data mining
  • feature selection
  • training data
  • object recognition
  • natural images
  • anomaly detection