U-Net Based Chest X-ray Segmentation with Ensemble Classification for Covid-19 and Pneumonia

06/14/2022

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by   Dulani Meedeniya, et al.

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Respiratory diseases have been known to be a main cause of death worldwide. Pneumonia and Covid-19 are two of the dominant diseases. Several deep learning based studies are available in the literature that classifies infection conditions in chest X-ray images. In addition, image segmentation has been also applied to obtain promising results in deep learning approaches. This paper focuses on using a modified version of the U-Net architecture to conduct segmentation on chest X-rays and then use segmented images for classification to assess the impact on the performance. We achieved an Intersection over Union of 93.53% with the proposed modified U-Net architecture and achieved 99.36% accuracy on segmentation aided ensemble classification.