A closer look onto breast density with weakly supervised dense-tissue masksDownload PDF

Apr 17, 2019 (edited Jul 07, 2019)MIDL 2019 Conference Abstract SubmissionReaders: Everyone
  • Keywords: Deep Learning, Weakly supervised segmentation, Regression, Breast density
  • TL;DR: U-Net based network using image-wise ground truth for segmentation of breast dense tissues.
  • Abstract: This work focuses on the automatic quantification of the breast density from digital mam- mography imaging. Using only categorical image-wise labels we train a model capable of predicting continuous density percentage as well as providing a pixel wise support frit for the dense region. In particular we propose a weakly supervised loss linking the density percentage to the mask size.
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