Computer-aided detection and prognosis of colorectal cancer on whole slide images using dual resolution deep learning.

Xu, Yan; Jiang, Liwen; Chen, Wenjing; Huang, Shuting; Liu, Zhenyu; Zhang, Jiangyu

Xu, Yan; Jiang, Liwen; Chen, Wenjing; Huang, Shuting; Liu, Zhenyu; Zhang, Jiangyu.

Afiliação

Xu Y; School of Information Engineering, Guangdong University of Technology, Guangzhou, 510006, Guangdong, China.
Jiang L; Department of Pathology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, 510095, Guangdong, China.
Chen W; Department of Pathology, Guangdong Women and Children Hospital, Guangzhou, 510010, Guangdong, China.
Huang S; School of Information Engineering, Guangdong University of Technology, Guangzhou, 510006, Guangdong, China.
Liu Z; School of Information Engineering, Guangdong University of Technology, Guangzhou, 510006, Guangdong, China. zhenyuliu@gdut.edu.cn.
Zhang J; Department of Pathology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, 510095, Guangdong, China. superchina2000@foxmail.com.

J Cancer Res Clin Oncol ; 149(1): 91-101, 2023 Jan.

Article em En | MEDLINE | ID: mdl-36331654

Assuntos

Neoplasias Colorretais; Aprendizado Profundo; Humanos; Prognóstico; Institutos de Câncer; Computadores; Neoplasias Colorretais/diagnóstico por imagem

Palavras-chave

Colorectal cancer; Deep learning; Identification; Prognosis; Whole-slide Images

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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