COVID-19 Classification on Chest X-ray Images Using Deep | ResearchBunny

Index

Abstract

This study evaluates five deep learning models (ResNet50, ResNet101, DenseNet121, DenseNet169, and InceptionV3) for COVID-19 classification using chest X-ray images from the COVID-QU dataset. Transfer learning was employed, and the models were trained and validated on a large publicly available repository. ResNet101 achieved the best performance, reaching 96% precision, recall, and accuracy.

Publisher

International Journal of Environmental Research and Public Health

Published On

Jan 22, 2023

Authors

Paul B Tchounwou, Stelios Zimeras, Styliani Geronikolou, Marios Constantinou, Themis Exarchos, Aristidis G Vrahatis, Panagiotis Vlamos

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