Application of deep learning as a noninvasive tool to differentiate muscle-invasive bladder cancer and non-muscle-invasive bladder cancer with CT.

Yang, Yuhan; Zou, Xiuhe; Wang, Yixi; Ma, Xuelei

Yang, Yuhan; Zou, Xiuhe; Wang, Yixi; Ma, Xuelei.

Afiliación

Yang Y; West China School of Medicine, Sichuan University, No.17 People's South Road, Chengdu, 610041, Sichuan, China. Electronic address: yyh_1023@163.com.
Zou X; West China Hospital, Sichuan University, Guoxue Road 37, Chengdu, 610041, China. Electronic address: zouxiuhe1986@163.com.
Wang Y; West China School of Medicine, Sichuan University, No.17 People's South Road, Chengdu, 610041, Sichuan, China. Electronic address: 653508203@qq.com.
Ma X; Department of Biotherapy and Cancer Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Guoxue Road 37, Chengdu, 610041, China. Electronic address: drmaxuelei@gmail.com.

Eur J Radiol ; 139: 109666, 2021 Jun.

Article en En | MEDLINE | ID: mdl-33798819

Asunto(s)

Aprendizaje Profundo; Neoplasias de la Vejiga Urinaria; Estudios Transversales; Humanos; Músculos; Tomografía Computarizada por Rayos X; Neoplasias de la Vejiga Urinaria/diagnóstico por imagen

Palabras clave

Bladder cancer; Computed tomography; Convolutional neural network; Deep learning; Muscle invasion

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Vejiga Urinaria / Aprendizaje Profundo Tipo de estudio: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Eur J Radiol Año: 2021 Tipo del documento: Article Pais de publicación: Irlanda

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