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Study of Different Deep Learning Approach with Explainable AI for Screening Patients with COVID-19 Symptoms: Using CT Scan and Chest X-ray Image Dataset
A deep learning-based model is developed that can detect COVID-19 patients with better accuracy both on CT scan and chest X-ray image dataset and test results demonstrate that it is conceivable to interpret top features that should have worked to build a trust AI framework to distinguish between patients with CO VID-19 symptoms with other patients.
COVID-19 Symptoms Detection Based on NasNetMobile with Explainable AI Using Various Imaging Modalities
Results demonstrate that the proposed models can identify the infectious regions and top features; ultimately, it provides a potential opportunity to distinguish between COVID-19 patients with others.