Deep-Learning-Based CT Imaging in the Quantitative Evaluation of Chronic Kidney Diseases

This study focused on the application of deep learning algorithms in the segmentation of CT images, so as to diagnose chronic kidney diseases accurately and quantitatively. First, the residual dual-attention module (RDA module) was used for automatic segmentation of renal cysts in CT images. 79 pati...

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Detalles Bibliográficos
Autores principales: Fu, Xu, Liu, Huaiqin, Bi, Xiaowang, Gong, Xiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8568539/
https://www.ncbi.nlm.nih.gov/pubmed/34745497
http://dx.doi.org/10.1155/2021/3774423

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8568539/
https://www.ncbi.nlm.nih.gov/pubmed/34745497
http://dx.doi.org/10.1155/2021/3774423

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