Application of deep learning upon spinal radiographs to predict progression in adolescent idiopathic scoliosis at first clinic visit.

Wang, Hongfei; Zhang, Teng; Cheung, Kenneth Man-Chee; Shea, Graham Ka-Hon

Wang, Hongfei; Zhang, Teng; Cheung, Kenneth Man-Chee; Shea, Graham Ka-Hon.

Afiliação

Wang H; Department of Orthopaedics and Traumatology, The University of Hong Kong, Hong Kong.
Zhang T; Department of Orthopaedics and Traumatology, The University of Hong Kong, Hong Kong.
Cheung KM; Department of Orthopaedics and Traumatology, The University of Hong Kong, Hong Kong.
Shea GK; Department of Orthopaedics and Traumatology, The University of Hong Kong, Hong Kong.

EClinicalMedicine ; 42: 101220, 2021 Dec.

Article em En | MEDLINE | ID: mdl-34901796

Palavras-chave

Adolescent idiopathic scoliosis; curve progression; deep learning; radiomics; scoliosis screening

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: EClinicalMedicine Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Hong Kong

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