Kidney Stone Detection Using Resnet Algorithm
Year: 2025
Type: article
Abstract: The Kidney Condition Detection System (KCDS) uses MRI images and advanced image processingtechniques to improve the early and accurate diagnosis of kidney diseases. By leveraging a ResNet-basedneural network, the system automatically extracts relevant features from MRI images, allowing for acomprehensive analysis of kidney structure and function. This approach enables the detection of subtlechanges in renal anatomy that could indicate early-stage conditions like chronic kidney disease or renaltumors. KCDS's integration of a diverse MRI image database enhances its adaptability and accuracyacross different patient demographics and disease presentations. The system aims to revolutionize kidneydisease diagnosis by providing detailed, automated, and precise assessments that surpass traditionalmethods
Author: A. Anciya, Pon.L.T.Thai
Language: English
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W6912250265
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