Artificial Intelligence Algorithm-Based MRI in the Diagnosis of Complications after Renal Transplantation

This study was to explore the diagnostic value of magnetic resonance imaging (MRI) optimized by residual segmentation attention dual channel network (DRSA-U-Net) in the diagnosis of complications after renal transplantation and to provide a more effective examination method for clinic. 89 patients w...

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Detalles Bibliográficos
Autores principales: Liu, Hang, Ren, Liang, Fan, Bohan, Wang, Wei, Hu, Xiaopeng, Zhang, Xiaodong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9398844/
https://www.ncbi.nlm.nih.gov/pubmed/36072641
http://dx.doi.org/10.1155/2022/8930584

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9398844/
https://www.ncbi.nlm.nih.gov/pubmed/36072641
http://dx.doi.org/10.1155/2022/8930584

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