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Deep learning-based automatic segmentation for size and volumetric measurement of breast cancer on magnetic resonance imaging.
Yue, Wenyi; Zhang, Hongtao; Zhou, Juan; Li, Guang; Tang, Zhe; Sun, Zeyu; Cai, Jianming; Tian, Ning; Gao, Shen; Dong, Jinghui; Liu, Yuan; Bai, Xu; Sheng, Fugeng.
Afiliación
  • Yue W; Department of Radiology, The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
  • Zhang H; Chinese PLA General Medical School, Beijing, China.
  • Zhou J; Department of Radiology, The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
  • Li G; Department of Radiology, The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
  • Tang Z; Keya Medical Technology Co., Ltd., Beijing, China.
  • Sun Z; Keya Medical Technology Co., Ltd., Beijing, China.
  • Cai J; Keya Medical Technology Co., Ltd., Beijing, China.
  • Tian N; Department of Radiology, The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
  • Gao S; Department of Radiology, The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
  • Dong J; Department of Radiology, The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
  • Liu Y; Department of Radiology, The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
  • Bai X; Department of Radiology, The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
  • Sheng F; Department of Radiology, The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
Front Oncol ; 12: 984626, 2022.
Article en En | MEDLINE | ID: mdl-36033453
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Oncol Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza
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: Prognostic_studies Idioma: En Revista: Front Oncol Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza