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EfficientCovNet A CNN-based Approach To Detect Various Pulmonary by Stefani Chella is a document available to read on EtoBox.
The study presents EfficentCovNet, a modified CNN-based architecture designed for the accurate classification of various pulmonary diseases, including COVID-19, Viral Pneumonia, and Lung Opacity, utilizing X-ray images. The model achieved a test accuracy of 96.12%, outperforming existing CNN models and demonstrating its potential for rapid and efficient disease detection, which is crucial in managing the ongoing COVID-19 pandemic. By leveraging a large dataset of 20,000 radiograph images, the research highl
- Author
- Stefani Chella
- Language
- EN