Convolutional Neural Networks for Classifying Cervical Cancer Types Using Histological Images.

Li, Yi-Xin; Chen, Feng; Shi, Jiao-Jiao; Huang, Yu-Li; Wang, Mei

Li, Yi-Xin; Chen, Feng; Shi, Jiao-Jiao; Huang, Yu-Li; Wang, Mei.

Afiliação

Li YX; Department of Obstetrics and Gynecology, Xinhua Hospital Chongming Branch, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Chen F; Department of Pathology, Xinhua Hospital Chongming Branch, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Shi JJ; Department of Obstetrics and Gynecology, Xinhua Hospital Chongming Branch, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Huang YL; Department of Obstetrics and Gynecology, Xinhua Hospital Chongming Branch, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Wang M; Department of Gynecology, Shanghai Pudong New Area People's Hospital, Shanghai Pudong New Area, Shanghai, 202150, China. 2906499588@qq.com.

J Digit Imaging ; 36(2): 441-449, 2023 04.

Article em En | MEDLINE | ID: mdl-36474087

Assuntos

Neoplasias do Colo do Útero; Humanos; Feminino; Neoplasias do Colo do Útero/diagnóstico por imagem; Redes Neurais de Computação; Colo do Útero

Palavras-chave

Cervical cancer; Computer vision; Convolutional neural networks; Deep learning; Histopathological images

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias do Colo do Útero Tipo de estudo: Prognostic_studies Limite: Female / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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