Deep learning approach for automatic landmark detection and alignment analysis in whole-spine lateral radiographs.

Yeh, Yu-Cheng; Weng, Chi-Hung; Huang, Yu-Jui; Fu, Chen-Ju; Tsai, Tsung-Ting; Yeh, Chao-Yuan

Yeh, Yu-Cheng; Weng, Chi-Hung; Huang, Yu-Jui; Fu, Chen-Ju; Tsai, Tsung-Ting; Yeh, Chao-Yuan.

Affiliation

Yeh YC; Department of Orthopaedic Surgery, Spine Division, Bone and Joint Research Center, Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Taoyuan, Taiwan, ROC.
Weng CH; aetherAI Co., Ltd., 9F., No.3-2, Yuanqu St., Nangang Dist., Taipei City, 115, Taiwan, ROC.
Huang YJ; Department of Orthopaedic Surgery, Spine Division, Bone and Joint Research Center, Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Taoyuan, Taiwan, ROC.
Fu CJ; Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Taoyuan, Taiwan, ROC.
Tsai TT; Department of Orthopaedic Surgery, Spine Division, Bone and Joint Research Center, Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Taoyuan, Taiwan, ROC.
Yeh CY; aetherAI Co., Ltd., 9F., No.3-2, Yuanqu St., Nangang Dist., Taipei City, 115, Taiwan, ROC. joeyeh@aetherai.com.

Sci Rep ; 11(1): 7618, 2021 04 07.

Article in En | MEDLINE | ID: mdl-33828159

Subject(s)

Anatomic Landmarks/diagnostic imaging; Image Processing, Computer-Assisted/methods; Spine/diagnostic imaging; Artificial Intelligence; Databases, Factual; Deep Learning; Humans; Radiography/methods; Reproducibility of Results

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Spine / Image Processing, Computer-Assisted / Anatomic Landmarks Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Sci Rep Year: 2021 Document type: Article Country of publication: United kingdom

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