Deep-learning-based 3D super-resolution MRI radiomics model: superior predictive performance in preoperative T-staging of rectal cancer.

Journal: European radiology
Published Date:

Abstract

OBJECTIVES: To investigate the feasibility and efficacy of a deep-learning (DL)-based three-dimensional (3D) super-resolution (SR) MRI radiomics model for preoperative T-staging prediction in rectal cancer (RC).

Authors

  • Min Hou
    College of Pharmacy, Jiangxi University of Chinese Medicine, Nanchang 330004, China.
  • Long Zhou
    Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, No. 3 East Qingchun Road, Hangzhou, 310016, Zhejiang Province, China. zhoulong21@zju.edu.cn.
  • Jihong Sun