Deep learning-based medical image segmentation of the aorta using XR-MSF-U-Net.

Journal: Computer methods and programs in biomedicine
Published Date: Oct 1, 2022

Abstract

PURPOSE: This paper proposes a CT images and MRI segmentation technology of cardiac aorta based on XR-MSF-U-Net model. The purpose of this method is to better analyze the patient's condition, reduce the misdiagnosis and mortality rate of cardiovascular disease in inhabitants, and effectively avoid the subjectivity and unrepeatability of manual segmentation of heart aorta, and reduce the workload of doctors.

Authors

  • Weimin Chen
    College of Civil Engineering, Zhejiang University of Technology, Hangzhou 310014, China.
  • Hongyuan Huang
    Department of Urology, Jinjiang Municipal Hospital, Quanzhou, Fujian Province, 362200, China.
  • Jing Huang
    Department of Nephrology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
  • Ke Wang
    China Electric Power Research Institute, Haidian District, Beijing 100192, China. wangke1@epri.sgcc.com.cn.
  • Hua Qin
    School of Mechanical-electronic and Automobile Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China.
  • Kelvin K L Wong
    School of Medicine, Western Sydney University, Sydney, Australia. Electronic address: kelvin.wong@westernsydney.edu.au.

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