Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography.

Journal: Medical physics
Published Date: Dec 1, 2016

Abstract

PURPOSE: Develop a computer-aided detection (CAD) system for masses in digital breast tomosynthesis (DBT) volume using a deep convolutional neural network (DCNN) with transfer learning from mammograms.

Authors

  • Ravi K Samala
    Department of Radiology, University of Michigan, Ann Arbor, Michigan.
  • Heang-Ping Chan
    Department of Radiology, University of Michigan, Ann Arbor, Michigan.
  • Lubomir Hadjiiski
    Department of Radiology, The University of Michigan, Ann Arbor, Michigan 48109-0904.
  • Mark A Helvie
    Department of Radiology, University of Michigan, Ann Arbor, Michigan 48109.
  • Jun Wei
    Guangzhou Perception Vision Medical Technology Inc. Guangzhou 510000 China.
  • Kenny Cha
    Department of Radiology, University of Michigan, Ann Arbor, Michigan 48109.

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