Deep learning-based classification of lower extremity arterial stenosis in computed tomography angiography.

Journal: European journal of radiology
Published Date: Jan 8, 2021

Abstract

PURPOSE: The purpose of this study is to develop and evaluate a deep learning model to assist radiologists in classifying lower extremity arteries based on the degree of arterial stenosis caused by plaque in lower extremity computed tomography angiography (CTA) of patients with peripheral artery disease.

Authors

  • Lisong Dai
    Department of Radiology, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Quan Zhou
    Department of Medical Laboratory, General Hospital of Southern Theater of PLA, Guangzhou 51010, China.
  • Hongmei Zhou
    State Key Laboratory of Oral Diseases, Department of Oral Medicine, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
  • Huijuan Zhang
    Department of Biomedical Engineering, University at Buffalo, The State University of New York, Buffalo, New York, 14260, United States.
  • Panpan Cheng
    Department of Radiology, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Mingyue Ding
    Medical Ultrasound Laboratory, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China.
  • Xiangyang Xu
    Huazhong University of Science and Technology, School of Computer Science & Technology, Wuhan 430074, China.
  • Xuming Zhang
    Key Laboratory of Molecular Biophysics of Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Huazhong University of Science and Technology, No 1037, Luoyu Road, Wuhan 430074, China.

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