Deep Learning Models for Severity Prediction of Acute Pancreatitis in the Early Phase From Abdominal Nonenhanced Computed Tomography Images.

Journal: Pancreas
PMID:

Abstract

OBJECTIVES: To develop and validate deep learning (DL) models for predicting the severity of acute pancreatitis (AP) by using abdominal nonenhanced computed tomography (CT) images.

Authors

  • Zhiyao Chen
    From the Pancreatitis Center, Center of Integrated Traditional Chinese and Western Medicine, Sichuan Provincial Pancreatitis Centre, West China Hospital, Sichuan University, Chengdu, China.
  • Yi Wang
    Department of Neurology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
  • Huiling Zhang
    Joint Engineering Research Center for Health Big Data Intelligent Analysis Technology, Center for High Performance Computing, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China.
  • Hongkun Yin
    Beijing Infervision Technology Co. Ltd., Beijing, 100025, China.
  • Cheng Hu
    College of Mathematics and System Sciences, Xinjiang University, Urumqi, 830046, Xinjiang, PR China.
  • Zixing Huang
    Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan Province 610000, China.
  • Qingyuan Tan
    From the Pancreatitis Center, Center of Integrated Traditional Chinese and Western Medicine, Sichuan Provincial Pancreatitis Centre, West China Hospital, Sichuan University, Chengdu, China.
  • Bin Song
    Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China.
  • Lihui Deng
    School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China. Electronic address: denglh2019@126.com.
  • Qing Xia