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Task-based assessment of a convolutional neural network for segmenting breast lesions for radiomic analysis.

Karl D SpuhlerJie DingChunling LiuJunqi SunMario Serrano-SosaMeghan MoriartyChuan Huang
Published in: Magnetic resonance in medicine (2019)
A CNN architecture is able to provide DCE-MRI breast lesion segmentations which are suitable for input to our radiomics model. Moreover, the previously established radiomics model and CNN can be accurately trained end-to-end using ground truth data provided by distinct experts.
Keyphrases
  • convolutional neural network
  • contrast enhanced
  • deep learning
  • magnetic resonance imaging
  • lymph node metastasis
  • magnetic resonance
  • electronic health record