Computed Tomography Image Features under Deep Learning Algorithm Applied in Staging Diagnosis of Bladder Cancer and Detection on Ceramide Glycosylation

The research is aimed at investigating computed tomography (CT) image based on deep learning algorithm and the application value of ceramide glycosylation in diagnosing bladder cancer. The images of ordinary CT detection were improved. In this study, 60 bladder cancer patients were selected and perf...

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Detalles Bibliográficos
Autores principales: Xu, Yisheng, Lou, Jianghua, Gao, Zhiqin, Zhan, Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8759889/
https://www.ncbi.nlm.nih.gov/pubmed/35035524
http://dx.doi.org/10.1155/2022/7979523

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8759889/
https://www.ncbi.nlm.nih.gov/pubmed/35035524
http://dx.doi.org/10.1155/2022/7979523

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