Deep Learning Approach for Anterior Cruciate Ligament Lesion Detection: Evaluation of Diagnostic Performance Using Arthroscopy as the Reference Standard.

Journal: Journal of magnetic resonance imaging : JMRI
Published Date: Jul 26, 2020

Abstract

BACKGROUND: MRI is the most commonly used imaging method for diagnosing anterior cruciate ligament (ACL) injuries. However, the interpretation of knee MRI is time-intensive and depends on the clinical experience of the reader. An automated detection system based on a deep-learning algorithm may improve interpretation time and reliability.

Authors

  • Lingyan Zhang
    Department of Medical Imaging, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
  • Mifang Li
    Department of Medical Imaging, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
  • Yujia Zhou
    Department of Biomedical Informatics and Data Science, School of Medicine, Yale University, New Haven, CT 06510, United States.
  • Guangming Lu
    Department of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China.
  • Quan Zhou
    Department of Medical Laboratory, General Hospital of Southern Theater of PLA, Guangzhou 51010, China.

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