HDLNET: A Hybrid Deep Learning Network Model With Intelligent IOT for Detection and Classification of Chronic Kidney Disease

Over 10% of the world’s population now suffers from chronic kidney disease (CKD), and millions die yearly. CKD should be detected early to extend the lives of those suffering and lower the cost of therapy. Building such a multimedia-driven model is necessary to detect the illne...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Kommuri Venkatrao, Shaik Kareemulla
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Subjects:	Chronic kidney disease (CKD) deep separable convolution neural network (DSCNN) capsule network (CapsNet) Aquila optimisation algorithm (AO) Sooty tern optimization algorithm (STOA)
Online Access:	https://ieeexplore.ieee.org/document/10239391/