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MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images.

Hailin YueJin LiuJunjian LiHulin KuangJinyi LangJianhong ChengLin PengYongtao HanHarrison BaiYuping WangQifeng WangJianxin Wang
Published in: Medical Image Anal. (2022)
Keyphrases
  • ct images
  • computed tomography
  • machine learning
  • medical images
  • fully automatic
  • pattern recognition
  • shape model
  • breast cancer
  • early detection
  • liver segmentation