Computer-aided automatic measurement of leg length on full leg radiographs.

Lee, Chan Su; Lee, Mu Sook; Byon, Shi Sub; Kim, Sung Hyun; Lee, Byoung Il; Lee, Byoung-Dai

Lee, Chan Su; Lee, Mu Sook; Byon, Shi Sub; Kim, Sung Hyun; Lee, Byoung Il; Lee, Byoung-Dai.

Afiliación

Lee CS; AI Lab, HealthHub, Co. Ltd, 623, Gangnam-daero, Seocho-gu, Seoul, 06524, Republic of Korea.
Lee MS; Department of Radiology, Keimyung University Dongsan Hospital, 1035, Dalgubeol-daero, Sindang-dong, Daegu, 42601, Republic of Korea.
Byon SS; AI Lab, HealthHub, Co. Ltd, 623, Gangnam-daero, Seocho-gu, Seoul, 06524, Republic of Korea.
Kim SH; Human Medical Imaging and Intervention Center, 621, Gangnam-daero, Seocho-gu, Seoul, 06524, Republic of Korea.
Lee BI; AI Lab, HealthHub, Co. Ltd, 623, Gangnam-daero, Seocho-gu, Seoul, 06524, Republic of Korea.
Lee BD; Division of AI Computer Science and Engineering, Kyonggi University, 154-42, Gwanggyosan-ro, Yeongtong-gu, Suwon-si, Gyeonggi-do, 16227, Republic of Korea. blee@kgu.ac.kr.

Skeletal Radiol ; 51(5): 1007-1016, 2022 May.

Article en En | MEDLINE | ID: mdl-34595544

Asunto(s)

Computadores; Pierna; Humanos; Pierna/diagnóstico por imagen; Radiografía; Reproducibilidad de los Resultados; Estudios Retrospectivos

Palabras clave

Deep learning; Full leg radiography; Leg length measurement; Retrospective studies

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Computadores / Pierna Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Skeletal Radiol Año: 2022 Tipo del documento: Article Pais de publicación: Alemania

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