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COVID-19 Detection Using CNN and SVM by thanhafathima480 is a document available to read on EtoBox.

This study presents a novel method for detecting COVID-19 in patients using X-ray images by combining convolutional neural networks (CNN), support vector machines (SVM), and Sobel filters. The proposed approach achieved high classification accuracy of 99.02%, sensitivity of 100%, and specificity of 95.23% without relying on pre-trained networks, demonstrating its potential for clinical application. The model was validated against six public databases, outperforming many existing methods in automated COVID-1

Author

thanhafathima480

Language

EN