[A novel attention fusion network-based multiple instance learning framework to automate diagnosis of chronic gastritis with multiple indicators].

Huang, D; Wang, Y; You, Q H; Wang, X; Zhang, J Y; Ding, X; Zhang, B B; Cui, H Y; Zhao, J X; Sheng, W Q

Huang, D; Wang, Y; You, Q H; Wang, X; Zhang, J Y; Ding, X; Zhang, B B; Cui, H Y; Zhao, J X; Sheng, W Q.

Afiliación

Huang D; Department of Pathology, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University; Institute of Pathology, Fudan University, Shanghai 200032, China.
Wang Y; Shanghai Engineering Research Center of Artificial Intelligence Technology for Neoplastic Diseases, Shanghai 200032, China.
You QH; Department of Pathology, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai 201399, China.
Wang X; Department of Pathology, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University; Institute of Pathology, Fudan University, Shanghai 200032, China.
Zhang JY; Wonders Information Co. Ltd, Shanghai 201112, China.
Ding X; Wonders Information Co. Ltd, Shanghai 201112, China.
Zhang BB; Shanghai Foremost Medical Technology Co. Ltd, Shanghai 201112, China.
Cui HY; Wonders Information Co. Ltd, Shanghai 201112, China.
Zhao JX; Wonders Information Co. Ltd, Shanghai 201112, China.
Sheng WQ; Department of Pathology, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University; Institute of Pathology, Fudan University, Shanghai 200032, China.

Zhonghua Bing Li Xue Za Zhi ; 50(10): 1116-1121, 2021 Oct 08.

Article en Zh | MEDLINE | ID: mdl-34619863

Asunto(s)

Inteligencia Artificial; Gastritis; Atención; China; Gastritis/diagnóstico; Humanos; Metaplasia

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Gastritis Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans País/Región como asunto: Asia Idioma: Zh Revista: Zhonghua Bing Li Xue Za Zhi Año: 2021 Tipo del documento: Article País de afiliación: China

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