Download Covidscreen: Explainable Deep Learning Framework For Differential Diagnosis of Covid-19 Using Chest X-Rays PDF Free - Full Version
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About Covidscreen: Explainable Deep Learning Framework For Differential Diagnosis of Covid-19 Using Chest X-Rays
This article proposes a deep learning framework called COVIDScreen for diagnosing COVID-19 using chest X-rays. The framework uses an ensemble of CNN models along with a Naive Bayes meta-learner to classify X-rays into COVID-19, pneumonia, or normal with 98.67% accuracy. The framework also incorporates explainability using Grad-CAM visualization. Additionally, various GAN architectures are evaluated for generating synthetic COVID-19 chest X-rays to address limited training data. The COVIDScreen framework outperforms existing methods for rapid and reliable COVID-19 diagnosis when PCR testing is unavailable or delayed.
Detailed Information
| Author: | ['Karem'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 22 |
| Language: | English |
| Format: | |
| Price: | FREE |
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