Deep Learning Approach for Anterior Cruciate Ligament Lesion Detection: Evaluation of Diagnostic Performance Using Arthroscopy as the Reference Standard.

Zhang, Lingyan; Li, Mifang; Zhou, Yujia; Lu, Guangming; Zhou, Quan

Zhang, Lingyan; Li, Mifang; Zhou, Yujia; Lu, Guangming; Zhou, Quan.

Afiliação

Zhang L; Department of Medical Imaging, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
Li M; Department of Medical Imaging, Jinling Hospital, the First School of Clinical Medicine, Southern Medical University, Nanjing, China.
Zhou Y; Department of Medical Imaging, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
Lu G; School of Biomedical Engineering, Southern Medical University, Guangzhou, China.
Zhou Q; Department of Medical Imaging, Jinling Hospital, the First School of Clinical Medicine, Southern Medical University, Nanjing, China.

J Magn Reson Imaging ; 52(6): 1745-1752, 2020 12.

Article em En | MEDLINE | ID: mdl-32715584

Assuntos

Lesões do Ligamento Cruzado Anterior; Aprendizado Profundo; Ligamento Cruzado Anterior/diagnóstico por imagem; Lesões do Ligamento Cruzado Anterior/diagnóstico por imagem; Artroscopia; Humanos; Imageamento por Ressonância Magnética; Padrões de Referência; Reprodutibilidade dos Testes; Estudos Retrospectivos; Sensibilidade e Especificidade

Palavras-chave

anterior cruciate ligament injury; convolutional neural network; deep learning; magnetic resonance imaging

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Lesões do Ligamento Cruzado Anterior / Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

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