Application of deep learning algorithms in classification and localization of implant cutout for the postoperative hip.

Journal: Skeletal radiology
PMID: 38771507

Abstract

OBJECTIVE: This study aims to explore the feasibility of employing convolutional neural networks for detecting and localizing implant cutouts on anteroposterior pelvic radiographs.

Authors

  • Jin Rong Tan
    Department of Diagnostic Radiology, Singapore General Hospital, Singapore General Hospital, Block 2, Level 1 Outram Road, Singapore, 169608, Singapore. Tan.jin.rong@singhealth.com.sg.
  • Yan Gao
    Department of Rehabilitation Medicine, The First Affiliated Hospital of Shenzhen University, The Second People's Hospital of Shenzhen, Shenzhen, Guangdong, China.
  • Raghavan Raghuraman
    Department of Orthopaedic Surgery, Changi General Hospital, Singapore, Singapore.
  • Daniel Ting
    Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.
  • Kang Min Wong
    Radiological Sciences ACP, Duke-NUS Medical School, Singapore, Singapore.
  • Lionel Tim-Ee Cheng
    Department of Diagnostic Radiology, Singapore General Hospital, Singapore General Hospital, Block 2, Level 1 Outram Road, Singapore, 169608, Singapore.
  • Hong Choon Oh
    Health Services Research, Changi General Hospital, Singapore Health Services, Singapore, Singapore.
  • Siang Hiong Goh
    Department of Emergency Medicine, Changi General Hospital, Singapore, Singapore.
  • Yet Yen Yan
    Radiological Sciences ACP, Duke-NUS Medical School, Singapore, Singapore.

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