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View Code? Open in Web Editor NEWIn this project, we aimed to develop a deep learning model for accurately classifying X-ray images as either pneumonia or COVID cases. The objective was to compare accuracy of different types of CNN, where we used two: DenseNet and MobileNetV2 and acheived an accuracy of something close to 54.5% and later using feature scaling it came close to 85%.
Home Page: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/WNQ3GI]