A U-snake based deep learning network for right ventricle segmentation.

Journal: Medical physics
PMID: 35302251

Abstract

PURPOSE: Ventricular segmentation is of great importance for the heart condition monitoring. However, manual segmentation is time-consuming, cumbersome, and subjective. Many segmentation methods perform poorly due to the complex structure and uncertain shape of the right ventricle, so we combine deep learning to achieve automatic segmentation.

Authors

  • Kaiwen Huang
    The School of Optical-Electrical & Computer Engineering, University of Shanghai for Science & Technology, Shanghai, China.
  • Lei Xu
    Key Laboratory of Biomedical Information Engineering of the Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China.
  • Yingliang Zhu
    The School of Optical-Electrical & Computer Engineering, University of Shanghai for Science & Technology, Shanghai, China.
  • Penghui Meng
    The School of Optical-Electrical & Computer Engineering, University of Shanghai for Science & Technology, Shanghai, China.

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