A Novel CNN-Based CAD System for Early Assessment of Transplanted Kidney Dysfunction

This paper introduces a deep-learning based computer-aided diagnostic (CAD) system for the early detection of acute renal transplant rejection. For noninvasive detection of kidney rejection at an early stage, the proposed CAD system is based on the fusion of both imaging markers and clinical biomark...

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Detalles Bibliográficos
Autores principales: Abdeltawab, Hisham, Shehata, Mohamed, Shalaby, Ahmed, Khalifa, Fahmi, Mahmoud, Ali, El-Ghar, Mohamed Abou, Dwyer, Amy C., Ghazal, Mohammed, Hajjdiab, Hassan, Keynton, Robert, El-Baz, Ayman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6459833/
https://www.ncbi.nlm.nih.gov/pubmed/30976081
http://dx.doi.org/10.1038/s41598-019-42431-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6459833/
https://www.ncbi.nlm.nih.gov/pubmed/30976081
http://dx.doi.org/10.1038/s41598-019-42431-3

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