Deep Learning Radiomics Model of Dynamic Contrast-Enhanced MRI for Evaluating Vessels Encapsulating Tumor Clusters and Prognosis in Hepatocellular Carcinoma.

Abstract

Authors

• Xue Dong
  Division of Plastic and Reconstructive Surgery, Weill Cornell Medicine, New York, NY, United States of America.
• 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.
• Binhao Zhang
  Department of Radiology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China.
• Yujing Li
  Department of Pathology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China.
• Guanliang Wang
  Department of Radiology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China.
• Jinyao Chen
  Department of Radiology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China.
• Yuguo Wei
  Precision Health Institution, GE Healthcare, Xihu District, Hangzhou, China.
• Huangqi Zhang
  Department of Radiology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China.
• Qingqing Chen
• Shengze Jin
  Department of Radiology, Taizhou Hospital of Zhejiang Province, Shaoxing University, Taizhou, Zhejiang, China.
• Lingxia Wang
  Department of Radiology, Taizhou Hospital, Zhejiang University, Taizhou, Zhejiang, China.
• Haiqing He
  Department of Radiology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China.
• Meifu Gan
  Department of Pathology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China.
• Wenbin Ji
  Department of Radiology, Taizhou Hospital, Zhejiang University, Taizhou, Zhejiang, China.

Keywords

External Resources