About this document
Deep Learning for COVID-19 X-Ray Detection by Bhaskar Tiwari is a document available to read on EtoBox.
This document summarizes a research paper that used deep learning models to analyze chest X-ray images to detect COVID-19. The paper collected over 6,000 chest X-ray images from online repositories to train and validate three CNN models: Inception V3, Xception, and ResNeXt. The models were trained to classify images as either COVID-19 infected or healthy. The results found that the Xception model achieved the highest accuracy of 97.97% at detecting COVID-19 infections from chest X-ray images. The paper aims
- Author
- Bhaskar Tiwari
- Language
- EN