Deep Learning-Assisted Efficient Staging of SARS-CoV-2 Lesions Using Lung CT Slices

<div>Sample CT images with four different classes considered in this work. (a) Normal CT images. (b) Ground glass opacification, lung parenchyma less than 25%. (c) Ground glass opacification, lung parenchyma less than 25%–50%. (d) Ground glass opacification, lung parenchyma less than 50–75%.</div>

Mathematical Problems in Engineering

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Figure 1: Deep Learning-Assisted Efficient Staging of SARS-CoV-2 Lesions Using Lung CT Slices 