Multitask Deep Learning for Automated Segmentation and Prognostic Stratification of Endometrial Cancer via Biparametric MRI.

Abstract

Authors

• Ruixin Yan
  Department of Radiology, State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University Third Hospital, Beijing, China.
• Ximiao Zhang
  School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China.
• Qiqi Cao
  Department of Cardiology, Renmin Hospital of Wuhan University, Hubei Province, 238 Jiefang Road, Wuchang District, Wuhan, 430060, China.
• Jiajia Xu
  School of Nursing, Zhejiang Chinese Medical University, 548 Binwen Road, Binjiang District, Hangzhou, 310053, Zhejiang Province, People's Republic of China.
• Yongye Chen
  Department of Radiology, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing, 100191, People's Republic of China.
• Siyuan Qin
  Department of Radiology, State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University Third Hospital, Beijing, China.
• Shiwen Zhang
  Department of Radiology, State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University Third Hospital, Beijing, China.
• Weili Zhao
  Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China. zhao.weili@yahoo.com.
• Xiaoying Xing
  Department of Radiology, Peking University Third Hospital, Haidian District, 49 North Garden Road, Beijing, 100191, People's Republic of China.
• Wenjie Yang
  Department of Radiology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China. lisa_ywj@163.com.
• Ning Lang
  Department of Radiology, Peking University Third Hospital, Beijing 10019, China.

Keywords

No keywords available for this article.

External Resources