Federated Learning-Based Detection of Invasive Carcinoma of No Special Type with Histopathological Images.

Agbley, Bless Lord Y; Li, Jianping; Hossin, Md Altab; Nneji, Grace Ugochi; Jackson, Jehoiada; Monday, Happy Nkanta; James, Edidiong Christopher

Agbley, Bless Lord Y; Li, Jianping; Hossin, Md Altab; Nneji, Grace Ugochi; Jackson, Jehoiada; Monday, Happy Nkanta; James, Edidiong Christopher.

Afiliación

Agbley BLY; School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Li J; School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Hossin MA; School of Innovation and Entrepreneurship, Chengdu University, Chengdu 610106, China.
Nneji GU; School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Jackson J; School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Monday HN; School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
James EC; School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.

Diagnostics (Basel) ; 12(7)2022 Jul 09.

Article en En | MEDLINE | ID: mdl-35885573

Palabras clave

breast cancer; deep learning; federated learning; histopathological image analysis; invasive carcinoma of no special type; whole slide images

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Diagnostics (Basel) Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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