Lung segmentation is necessary for reliable COVID-19 X-ray classification while excessive data augmentation leads to overfitting, with the proposed SDL-COVID method reaching 95.21% precision and low false negatives.
EDL-COVID: Ensemble Deep Learning for COVID-19 Case Detection From Chest X-Ray Images
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Are Data Augmentation and Segmentation Always Necessary? Insights from COVID-19 X-Rays and a Methodology Thereof
Lung segmentation is necessary for reliable COVID-19 X-ray classification while excessive data augmentation leads to overfitting, with the proposed SDL-COVID method reaching 95.21% precision and low false negatives.