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Deep Learning in the Detection of Chronic Kidney Disease

A Balamanikandan, M Saravanakumar, Sudharsan Gunasekaran, Vasiha Anjum, P. Gurusamy, N Ashokkumar

202415 citationsDOI

Abstract

Kidney stones are the main kidney-related issue that has arisen in recent times. Small kidney stones are notoriously difficult to detect, thus this research—known as the Detection of Chronic Kidney Disease Using Deep Learning—helps identify kidney tumors and cysts in addition to stones in the kidney. The primary goal of this effort is to reduce time delays and boost accuracy while using less electricity. Two Deep Learning models derived from Machine Learning are included in the paper. Convolutional Neural Network (CNN) and Mobile Net are the two models. The study was able to examine the accuracy of these two models in addition to the outcomes.

Topics & Concepts

Kidney diseaseComputer scienceArtificial intelligenceDeep learningDiseaseMachine learningMedicinePathologyInternal medicineArtificial Intelligence in Healthcare