Development and Validation of Multiparametric MRI-based Interpretable Deep Learning Radiomics Fusion Model for Predicting Lymph Node Metastasis and Prognosis in Rectal Cancer: A Two-center Study.

Abstract

Authors

• Yunjun Yang
  Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, 325000, China. yyjunjim@163.com.
• Kaiting Han
  Department of Radiology, The First People's Hospital of Foshan, Foshan, China (Y.Y., K.H., Z.X., H.Z., J.H., Z.X.).
• Zhenyu Xu
  Department of Urology, The Affiliated Hospital of Nanjing University of Traditional Chinese Medicine: Traditional Chinese Medicine Hospital of Kunshan, Kunshan, China.
• Zhiping Cai
  College of Computer, National University of Defense Technology, Changsha, China. Electronic address: zpcai@nudt.edu.cn.
• Hai Zhao
• Julu Hong
  Department of Radiology, The First People's Hospital of Foshan, Foshan, China (Y.Y., K.H., Z.X., H.Z., J.H., Z.X.).
• Jiawei Pan
  Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China.
• Li Guo
  Department of Dental Implantology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing University, Nanjing, China.
• Weijun Huang
• Qiugen Hu
  Department of Radiology, Shunde Hospital, Southern Medical University, Foshan, China.
• Zhifeng Xu
  College of Plant Protection, Southwest University, Chongqing, China.

Keywords

External Resources