Enhanced accuracy and stability in automated intra-pancreatic fat deposition monitoring of type 2 diabetes mellitus using Dixon MRI and deep learning.

Abstract

Authors

• Zhongxian Pan
  Department of Radiology, Shenzhen Traditional Chinese Medicine Hospital (The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine), Shenzhen, China.
• Qiuyi Chen
  Department of Ultrasound, Affiliated Tumor Hospital of Nantong University, Jiangsu, Nantong, China.
• Haiwei Lin
  Medical AI Lab, School of Biomedical Engineering, Medical School, Shenzhen University, Shenzhen, China.
• Wensheng Huang
  Radiology Department, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China. Electronic address: huangwensheng@sysush.com.
• Junfeng Li
  School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan, China.
• Fanqi Meng
  Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
• Zhangnan Zhong
  Medical AI Lab, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, People's Republic of China (Y.F., Y.Z., Z.Z., B.H.).
• Wenxi Liu
• Zhujing Li
  Department of Radiology, Shenzhen Traditional Chinese Medicine Hospital (The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine), Shenzhen, China.
• Haodong Qin
  MR Research Collaboration, Siemens Healthineers, Shanghai, China.
• Bingsheng Huang
  School of Biomedical Engineering, Shenzhen University Health Sciences Center, Shenzhen, Guangdong 518060, P.R.China.
• Yueyao Chen
  Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China.

Keywords

External Resources