Comparison of deep learning-based image segmentation methods for intravascular ultrasound on retrospective and large image cohort study.

Journal: Biomedical engineering online
Published Date: Nov 28, 2023

Abstract

OBJECTIVES: The aim of this study was to investigate the generalization performance of deep learning segmentation models on a large cohort intravascular ultrasound (IVUS) image dataset over the lumen and external elastic membrane (EEM), and to assess the consistency and accuracy of automated IVUS quantitative measurement parameters.

Authors

  • Liang Dong
    School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, China.
  • Wei Lu
    Department of Pharmacy, Taihe Hospital, Hubei University of Medicine, Shiyan, China.
  • Xuzhou Lu
    ArteryFlow Technology Co., Ltd, Hangzhou, China.
  • Xiaochang Leng
    ArteryFlow Technology Co., Ltd., 459 Qianmo Road, Hangzhou, 310051, China.
  • Jianping Xiang
    ArteryFlow Technology Co., Ltd., 459 Qianmo Road, Hangzhou, 310051, China. jianping.xiang@arteryflow.com.
  • Changling Li
    The Department of Cardiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China. lcl1973@foxmail.com.

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