Nature Communications (Mar 2021)

Predicting treatment response from longitudinal images using multi-task deep learning

  • Cheng Jin,
  • Heng Yu,
  • Jia Ke,
  • Peirong Ding,
  • Yongju Yi,
  • Xiaofeng Jiang,
  • Xin Duan,
  • Jinghua Tang,
  • Daniel T. Chang,
  • Xiaojian Wu,
  • Feng Gao,
  • Ruijiang Li

DOI
https://doi.org/10.1038/s41467-021-22188-y
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 11

Abstract

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Radiographic imaging is routinely used to evaluate treatment response in solid tumors. Here, the authors present a multi-task deep learning approach that allows simultaneous tumor segmentation and response prediction from longitudinal images in a multi-center study on rectal cancer.