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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Detalhes bibliográficos
Publicado no:Sci Rep
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2019
Assuntos:
Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6459833/
https://ncbi.nlm.nih.gov/pubmed/30976081
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-42431-3
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