Artificial intelligence-based tools with automated segmentation and measurement on CT images to assist accurate and fast diagnosis in acute pancreatitis.

Abstract

Authors

• Xuhang Pan
  Institute of Medical Imaging, Department of Radiology, Taihe Hospital, Hubei University of Medicine, Shiyan 442000, China.
• Kaijian Jiao
  Institute of Medical Imaging, Department of Radiology, Taihe Hospital, Hubei University of Medicine, Shiyan 442000, China.
• Xinyu Li
  School of Pharmacy, Binzhou Medical University, Yantai, China.
• Linshuang Feng
  School of Biomedical Engineering, Hubei University of Medicine, Shiyan 442000, China.
• Yige Tian
  School of Biomedical Engineering, Hubei University of Medicine, Shiyan 442000, China.
• Lei Wu
  Advanced Photonics Center, Southeast University, Nanjing, 210096, China.
• Peng Zhang
  Key Laboratory of Macromolecular Science of Shaanxi Province, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi'an, Shaanxi 710062, China.
• Kejun Wang
  College of Automation, Harbin Engineering University, Harbin 150001, China.
• Suping Chen
  GE Healthcare, Computed Tomography Research Center, Beijing, 100176, People's Republic of China.
• Bo Yang
  Center for Cognition and Brain Disorders, Hangzhou Normal University, Hangzhou, Zhejiang Province 311121, China.
• Wen Chen
  School of Cyber Science and Engineering, Sichuan University, Chengdu, Sichuan, China.

Keywords

External Resources