Automating classification of osteoarthritis according to Kellgren-Lawrence in the knee using deep learning in an unfiltered adult population.

Olsson, Simon; Akbarian, Ehsan; Lind, Anna; Razavian, Ali Sharif; Gordon, Max

Olsson, Simon; Akbarian, Ehsan; Lind, Anna; Razavian, Ali Sharif; Gordon, Max.

Afiliação

Olsson S; Department of Clinical Sciences at Danderyd Hospital, Unit of Orthopedics, Karolinska Institutet, 182 88, Stockholm, Sweden.
Akbarian E; Department of Clinical Sciences at Danderyd Hospital, Unit of Orthopedics, Karolinska Institutet, 182 88, Stockholm, Sweden.
Lind A; Department of Clinical Sciences at Danderyd Hospital, Unit of Orthopedics, Karolinska Institutet, 182 88, Stockholm, Sweden.
Razavian AS; Department of Clinical Sciences at Danderyd Hospital, Unit of Orthopedics, Karolinska Institutet, 182 88, Stockholm, Sweden.
Gordon M; Department of Clinical Sciences at Danderyd Hospital, Unit of Orthopedics, Karolinska Institutet, 182 88, Stockholm, Sweden. max@gforge.se.

BMC Musculoskelet Disord ; 22(1): 844, 2021 Oct 02.

Article em En | MEDLINE | ID: mdl-34600505

Assuntos

Aprendizado Profundo; Osteoartrite do Joelho; Adulto; Inteligência Artificial; Humanos; Articulação do Joelho; Osteoartrite do Joelho/diagnóstico por imagem; Osteoartrite do Joelho/epidemiologia; Osteoartrite do Joelho/cirurgia; Reprodutibilidade dos Testes

Palavras-chave

Deep learning; Kellgren & Lawrence classification; artificial intelligence; knee osteoarthritis; radiographs

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Osteoartrite do Joelho / Aprendizado Profundo Tipo de estudo: Risk_factors_studies Limite: Adult / Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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