Deep Learning on Enhanced CT Images Can Predict the Muscular Invasiveness of Bladder Cancer

BACKGROUND: Clinical treatment decision making of bladder cancer (BCa) relies on the absence or presence of muscle invasion and tumor staging. Deep learning (DL) is a novel technique in image analysis, but its potential for evaluating the muscular invasiveness of bladder cancer remains unclear. The...

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Detalles Bibliográficos
Autores principales: Zhang, Gumuyang, Wu, Zhe, Xu, Lili, Zhang, Xiaoxiao, Zhang, Daming, Mao, Li, Li, Xiuli, Xiao, Yu, Guo, Jun, Ji, Zhigang, Sun, Hao, Jin, Zhengyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8226179/
https://www.ncbi.nlm.nih.gov/pubmed/34178641
http://dx.doi.org/10.3389/fonc.2021.654685

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8226179/
https://www.ncbi.nlm.nih.gov/pubmed/34178641
http://dx.doi.org/10.3389/fonc.2021.654685

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