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

Abstract 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 clinica...

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Bibliographic Details
Main Authors: Hisham Abdeltawab, Mohamed Shehata, Ahmed Shalaby, Fahmi Khalifa, Ali Mahmoud, Mohamed Abou El-Ghar, Amy C. Dwyer, Mohammed Ghazal, Hassan Hajjdiab, Robert Keynton, Ayman El-Baz
Format: article
Language:EN
Published: Nature Portfolio 2019
Subjects:
R
Q
Online Access:https://doaj.org/article/5122771f8eff417ead0e170207bac3a5
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