Login / Signup

Radiomics Analysis Based on Automatic Image Segmentation of DCE-MRI for Predicting Triple-Negative and Nontriple-Negative Breast Cancer.

Mingming MaLiangyu GanYuan JiangNaishan QinChangxin LiYaofeng ZhangXiaoying Wang
Published in: Computational and mathematical methods in medicine (2021)
The radiomics model based on automatic image segmentation of DCE-MRI can be used to distinguish TNBC and non-TNBC.
Keyphrases
  • deep learning
  • contrast enhanced
  • magnetic resonance imaging
  • convolutional neural network
  • magnetic resonance
  • computed tomography
  • diffusion weighted imaging
  • machine learning
  • breast cancer risk