Artificial intelligence-based classification of bone tumors in the proximal femur on plain radiographs: System development and validation.

Abstract

Authors

• Chan-Woo Park
  a Department of Orthopedic Surgery , Samsung Medical Center, Sungkyunkwan University School of Medicine , Seoul , South Korea.
• Seong-Je Oh
  Medical AI Research Center, Samsung Medical Center, Seoul, Korea.
• Kyung-Su Kim
  Medical AI Research Center, Samsung Medical Center, Seoul, Republic of Korea.
• Min-Chang Jang
  Department of Orthopedic Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
• Il Su Kim
  Department of Orthopedic Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
• Young-Keun Lee
  Department of Orthopedic Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
• Myung Jin Chung
  From the Department of Radiology, Research Institute of Radiological Science, Center for Clinical Imaging Data Science, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea (Y.S., K.H., B.W.C.); Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea (M.J.C.); Department of Radiology, University Medical Center Freiburg, Freiburg, Germany (E.K.); Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Mass (S. Yune, M.K., S.D.); and Samsung Electronics, Suwon, Republic of Korea (H.K., S. Yang, D.J.L.).
• Baek Hwan Cho
  Smart Healthcare & Device Research Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
• Sung-Wook Seo
  Department of Orthopedic Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.

Keywords

External Resources