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Deep Learning Based Detection and Analysis of COVID-19 On Chest X-Ray Images PDF

11 Pages·2021·English
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by ['Bhaskar Tiwari']| 2021| 11 pages| English

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:PDF
Price:FREE
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