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About Deep Learning Based Detection and Analysis of COVID-19 On Chest X-Ray Images
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 to explore deep learning methods for COVID-19 detection from medical images but does not claim clinical accuracy.
Detailed Information
Author: | ['Bhaskar Tiwari'] |
---|---|
Publication Year: | 2021 |
Pages: | 11 |
Language: | English |
Format: | |
Price: | FREE |
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