ICPPNet: A semantic segmentation network model based on inter-class positional prior for scoliosis reconstruction in ultrasound images.

Journal: Journal of biomedical informatics
Published Date: Apr 19, 2025

Abstract

OBJECTIVE: Considering the radiation hazard of X-ray, safer, more convenient and cost-effective ultrasound methods are gradually becoming new diagnostic approaches for scoliosis. For ultrasound images of spine regions, it is challenging to accurately identify spine regions in images due to relatively small target areas and the presence of a lot of interfering information. Therefore, we developed a novel neural network that incorporates prior knowledge to precisely segment spine regions in ultrasound images.

Authors

  • Changlong Wang
    College of Software, Jilin University, Changchun, 130012, Jilin, China.
  • You Zhou
    Visionary Intelligence Ltd., Beijing, China.
  • Yuanshu Li
    College of Computer Science and Technology, Jilin University, Changchun, 130012, Jilin, China.
  • Wei Pang
    School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, EH14 4AS, UK.
  • Liupu Wang
    Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, 130012, China. Electronic address: wanglpu@jlu.edu.cn.
  • Wei Du
    Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
  • Hui Yang
    Department of Neurology, The Second Affiliated Hospital of Guizhou University of Chinese Medicine, Guiyang, China.
  • Ying Jin
    Department of Immunology, School of Basic Medical Sciences, Anhui Medical University, Hefei, 230032, PR China.

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