Automatic quantitative evaluation of normal pancreas based on deep learning in a Chinese adult population.

Cai, Jinxiu; Guo, Xiaochao; Wang, Ke; Zhang, Yaofeng; Zhang, Dadou; Zhang, Xiaodong; Wang, Xiaoying

Cai, Jinxiu; Guo, Xiaochao; Wang, Ke; Zhang, Yaofeng; Zhang, Dadou; Zhang, Xiaodong; Wang, Xiaoying.

Afiliación

Cai J; Department of Radiology, Peking University First Hospital, No.8, Xishiku Street, Xicheng District, Beijing, 100034, China.
Guo X; Department of Radiology, Peking University First Hospital, No.8, Xishiku Street, Xicheng District, Beijing, 100034, China.
Wang K; Department of Radiology, Peking University First Hospital, No.8, Xishiku Street, Xicheng District, Beijing, 100034, China.
Zhang Y; Beijing Smart Tree Medical Technology Co.Ltd, Beijing, China.
Zhang D; Beijing Smart Tree Medical Technology Co.Ltd, Beijing, China.
Zhang X; Department of Radiology, Peking University First Hospital, No.8, Xishiku Street, Xicheng District, Beijing, 100034, China.
Wang X; Department of Radiology, Peking University First Hospital, No.8, Xishiku Street, Xicheng District, Beijing, 100034, China. wangxiaoying@bjmu.edu.cn.

Abdom Radiol (NY) ; 47(3): 1082-1090, 2022 03.

Article en En | MEDLINE | ID: mdl-35064795

Asunto(s)

Aprendizaje Profundo; China; Humanos; Procesamiento de Imagen Asistido por Computador; Páncreas/diagnóstico por imagen; Estudios Retrospectivos

Palabras clave

Anthropometry; Computed tomography; Deep learning; Pancreas; Segmentation

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo Tipo de estudio: Observational_studies Límite: Humans País/Región como asunto: Asia Idioma: En Revista: Abdom Radiol (NY) Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos

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