Deep learning for the ovarian lesion localization and discrimination between borderline and malignant ovarian tumors based on routine MR imaging.

Wang, Yida; Zhang, He; Wang, Tianping; Yao, Liangqing; Zhang, Guofu; Liu, Xuefen; Yang, Guang; Yuan, Lei

Wang, Yida; Zhang, He; Wang, Tianping; Yao, Liangqing; Zhang, Guofu; Liu, Xuefen; Yang, Guang; Yuan, Lei.

Afiliação

Wang Y; Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, People's Republic of China.
Zhang H; Department of Radiology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, People's Republic of China.
Wang T; Department of Radiology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, People's Republic of China.
Yao L; Department of Gynecology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, People's Republic of China.
Zhang G; Department of Radiology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, People's Republic of China.
Liu X; Department of Radiology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, People's Republic of China.
Yang G; Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, People's Republic of China. gyang@phy.ecnu.edu.cn.
Yuan L; Department of Gynecology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, People's Republic of China. yuanlei1529@163.com.

Sci Rep ; 13(1): 2770, 2023 02 16.

Article em En | MEDLINE | ID: mdl-36797331

Assuntos

Aprendizado Profundo; Neoplasias Ovarianas; Feminino; Humanos; Estudos Retrospectivos; Imageamento por Ressonância Magnética/métodos; Neoplasias Ovarianas/diagnóstico por imagem; Carcinoma Epitelial do Ovário

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / Aprendizado Profundo Tipo de estudo: Observational_studies / Prognostic_studies Limite: Female / Humans Idioma: En Revista: Sci Rep Ano de publicação: 2023 Tipo de documento: Article

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