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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Detaylı Bibliyografya
Yayımlandı:Sci Rep
Asıl Yazarlar: 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
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Nature Publishing Group UK 2019
Konular:
Article
Online Erişim: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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