Deep learning for fully automated segmentation and volumetry of Couinaud liver segments and future liver remnants shown with CT before major hepatectomy: a validation study of a predictive model.

Xie, Tingting; Li, Yongbin; Lin, Ziying; Liu, Xiang; Zhang, Xiaodong; Zhang, Yaofeng; Zhang, Dadou; Cheng, Guanxun; Wang, Xiaoying

Xie, Tingting; Li, Yongbin; Lin, Ziying; Liu, Xiang; Zhang, Xiaodong; Zhang, Yaofeng; Zhang, Dadou; Cheng, Guanxun; Wang, Xiaoying.

Afiliación

Xie T; Department of Radiology, Peking University First Hospital, Beijing, China.
Li Y; Department of Ultrasound, Peking University Shenzhen Hospital, Shenzhen, China.
Lin Z; Department of Radiology, Peking University First Hospital, Beijing, China.
Liu X; Department of Radiology, Peking University First Hospital, Beijing, China.
Zhang X; Department of Radiology, Peking University First Hospital, Beijing, China.
Zhang Y; Beijing Smart Tree Medical Technology Co. Ltd., Beijing, China.
Zhang D; Beijing Smart Tree Medical Technology Co. Ltd., Beijing, China.
Cheng G; Medical Imaging Center, Peking University Shenzhen Hospital, Shenzhen, China.
Wang X; Department of Radiology, Peking University First Hospital, Beijing, China.

Quant Imaging Med Surg ; 13(5): 3088-3103, 2023 May 01.

Article en En | MEDLINE | ID: mdl-37179921

Palabras clave

Couinaud liver segments; Liver; deep learning (DL); future liver remnant (FLR); segmentation

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Quant Imaging Med Surg Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: China

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google