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What is COVID-19 Detection Using CNN Models about?

The document presents a project report on the development of a deep learning model for detecting COVID-19 infections using chest X-ray images, aimed at aiding radiologists and clinicians. The model, based on a concatenation-based CNN architecture, achieved approximately 96.31% accuracy and is designed to classify images as COVID-19 positive, viral pneumonia, or normal. The report includes acknowledgments, project objectives, implementation details, and discusses the potential impact of AI in diagnosing COVI

Author

gaudzgaming.me

Language

EN