Application of artificial intelligence to pancreatic adenocarcinoma.

Chen, Xi; Fu, Ruibiao; Shao, Qian; Chen, Yan; Ye, Qinghuang; Li, Sheng; He, Xiongxiong; Zhu, Jinhui

Chen, Xi; Fu, Ruibiao; Shao, Qian; Chen, Yan; Ye, Qinghuang; Li, Sheng; He, Xiongxiong; Zhu, Jinhui.

Afiliación

Chen X; Department of General Surgery, Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China.
Fu R; Department of General Surgery, Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China.
Shao Q; Department of Surgical Ward 1, Ningbo Women and Children's Hospital, Ningbo, China.
Chen Y; Department of General Surgery, Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China.
Ye Q; Department of General Surgery, Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China.
Li S; College of Information Engineering, Zhejiang University of Technology, Hangzhou, China.
He X; College of Information Engineering, Zhejiang University of Technology, Hangzhou, China.
Zhu J; Department of General Surgery, Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China.

Front Oncol ; 12: 960056, 2022.

Article en En | MEDLINE | ID: mdl-35936738

Palabras clave

artificial intelligence (AI); artificial neural network (ANN); future perspectives; machine learning (ML); pancreatic adenocarcinoma (PC)

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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

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