Deep learning techniques for imaging diagnosis of renal cell carcinoma: current and emerging trends

This study summarizes the latest achievements, challenges, and future research directions in deep learning technologies for the diagnosis of renal cell carcinoma (RCC). This is the first review of deep learning in RCC applications. This review aims to show that deep learning technologies hold great...

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Detalles Bibliográficos
Autores principales: Wang, Zijie, Zhang, Xiaofei, Wang, Xinning, Li, Jianfei, Zhang, Yuhao, Zhang, Tianwei, Xu, Shang, Jiao, Wei, Niu, Haitao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10505614/
https://www.ncbi.nlm.nih.gov/pubmed/37727213
http://dx.doi.org/10.3389/fonc.2023.1152622

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10505614/
https://www.ncbi.nlm.nih.gov/pubmed/37727213
http://dx.doi.org/10.3389/fonc.2023.1152622

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