The role of radiomics with machine learning in the prediction of muscle-invasive bladder cancer: A mini review.

Huang, Xiaodan; Wang, Xiangyu; Lan, Xinxin; Deng, Jinhuan; Lei, Yi; Lin, Fan

Huang, Xiaodan; Wang, Xiangyu; Lan, Xinxin; Deng, Jinhuan; Lei, Yi; Lin, Fan.

Afiliación

Huang X; Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China.
Wang X; Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China.
Lan X; Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China.
Deng J; Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China.
Lei Y; Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China.
Lin F; Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China.

Front Oncol ; 12: 990176, 2022.

Article en En | MEDLINE | ID: mdl-36059618

Palabras clave

CT; MRI; bladder cancer; machine learning; muscle-invasive; radiomics

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Oncol Año: 2022 Tipo del documento: Article País de afiliación: China

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