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    • Prediction of reader estimates of mammographic density using convolutional neural networks. 

      Ionescu, GV; Fergie, M; Berks, M; Harkness, EF; Hulleman, J; Brentnall, AR; Cuzick, J; Evans, DG; Astley, SM (Society of Photo-optical Instrumentation Engineers, 2019-07)
      Mammographic density is an important risk factor for breast cancer. In recent research, percentage density assessed visually using visual analogue scales (VAS) showed stronger risk prediction than existing automated density ...