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.

Afiliación

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 en En | MEDLINE | ID: mdl-34600505

Asunto(s)

Aprendizaje Profundo; Osteoartritis de la Rodilla; Adulto; Inteligencia Artificial; Humanos; Articulación de la Rodilla; Osteoartritis de la Rodilla/diagnóstico por imagen; Osteoartritis de la Rodilla/epidemiología; Osteoartritis de la Rodilla/cirugía; Reproducibilidad de los Resultados

Palabras clave

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

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Osteoartritis de la Rodilla / Aprendizaje Profundo Tipo de estudio: Risk_factors_studies Límite: Adult / Humans Idioma: En Revista: BMC Musculoskelet Disord Asunto de la revista: FISIOLOGIA / ORTOPEDIA Año: 2021 Tipo del documento: Article País de afiliación: Suecia

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