A deep learning model based on MRI for prediction of vessels encapsulating tumour clusters and prognosis in hepatocellular carcinoma.

Abstract

Authors

• Jiawen Yang
  Image Processing Center, School of Astronautics, Beihang University, Beijing 100191, China; Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing 100191, China.
• Xue Dong
  Division of Plastic and Reconstructive Surgery, Weill Cornell Medicine, New York, NY, United States of America.
• Fang Wang
  Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education and Hunan Key Laboratory for Computation and Simulation in Science and Engineering, Xiangtan University, Xiangtan, China.
• Shengze Jin
  Department of Radiology, Taizhou Hospital of Zhejiang Province, Shaoxing University, Taizhou, Zhejiang, China.
• Binhao Zhang
  Department of Radiology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China.
• Huangqi Zhang
  Department of Radiology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China.
• Wenting Pan
  Department of Radiology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, 150 Ximen St, Linhai, Taizhou, 317000, Zhejiang, China.
• Meifu Gan
  Department of Pathology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China.
• Shaofeng Duan
  GE Healthcare China, Shanghai, China.
• Limin Zhang
  School of Information, University of Arizona, 1103 E. Second Street, Tucson, AZ 85705, USA.
• Hongjie Hu
• Wenbin Ji
  Department of Radiology, Taizhou Hospital, Zhejiang University, Taizhou, Zhejiang, China.

Keywords

External Resources