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Convolutional Neural Networks for Classifying Cervical Cancer Types Using Histological Images.
Li, Yi-Xin; Chen, Feng; Shi, Jiao-Jiao; Huang, Yu-Li; Wang, Mei.
Affiliation
  • 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 in En | MEDLINE | ID: mdl-36474087
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Uterine Cervical Neoplasms Type of study: Prognostic_studies Limits: Female / Humans Language: En Journal: J Digit Imaging Journal subject: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA / RADIOLOGIA Year: 2023 Document type: Article Affiliation country: China Country of publication: United States
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Uterine Cervical Neoplasms Type of study: Prognostic_studies Limits: Female / Humans Language: En Journal: J Digit Imaging Journal subject: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA / RADIOLOGIA Year: 2023 Document type: Article Affiliation country: China Country of publication: United States