[Development and Application of Deep Learning-Based Model for Quality Control of Children Pelvic X-Ray Images].

Journal: Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
PMID: 38605612

Abstract

OBJECTIVE: A deep learning-based method for evaluating the quality of pediatric pelvic X-ray images is proposed to construct a diagnostic model and verify its clinical feasibility.

Authors

  • Zhichen Liu
    Department of Orthopaedics, Xijing Hospital, Air Force Medical University, Xi'an, 710032.
  • Jincong Lin
    Department of Orthopedics, Xijing Hospital, Air Force Medical University, No.15 Changle Xi Road, Xi'an, 710032, China.
  • Kunjie Xie
    Department of Orthopaedics, Xijing Hospital, Air Force Medical University, Xi'an, 710032.
  • Jia Sha
    Department of Orthopedics, Xijing Hospital, Air Force Military Medical University, No.169 Changle West Road, Xi'an, Shaanxi Province, 710032, China.
  • Xu Chen
    School of Pharmaceutical Sciences, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China.
  • Wei Lei
    Department of Orthopaedics, Xijing Hospital, Air Force Medical University, Xi'an, 710032.
  • Luyu Huang
    Division of Thoracic Surgery, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
  • Yabo Yan
    Department of Orthopedics, Xijing Hospital, Air Force Military Medical University, No.169 Changle West Road, Xi'an, Shaanxi Province, 710032, China.

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