Deep learning-based identification of spine growth potential on EOS radiographs.

Journal: European radiology

Published Date: Oct 18, 2023

OBJECTIVES: To develop an automatic computer-based method that can help clinicians in assessing spine growth potential based on EOS radiographs.

Lin-Zhen Xie

Department of Spine Surgery, Peking University Fourth School of Clinical Medicine, Beijing, China.
Xin-Yu Dou

Peking University Fourth School of Clinical Medicine, Beijing, China.
Teng-Hui Ge

Peking University Fourth School of Clinical Medicine, Beijing, China.
Xiao-Guang Han

Department of Spine Surgery, Peking University Fourth School of Clinical Medicine and Beijing Jishuitan Hospital, Beijing, China.
Qi Zhang

Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, China.
Qi-Long Wang

Department of Spine Surgery, Peking University Fourth School of Clinical Medicine, Beijing, China.
Shuo Chen

Department of Thoracic Surgery Beijing Chao-Yang Hospital Affiliated Capital Medical University Beijing China.
Da He

Department of Spine Surgery, Peking University Fourth School of Clinical Medicine and Beijing Jishuitan Hospital, Beijing, China.
Wei Tian

Department of Geriatrics, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.

Algorithms Child Child, Preschool Deep Learning Female Humans Infant Male Radiography Scoliosis Spine

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