MAVIDH Score: A COVID-19 Severity Scoring using Chest X-Ray Pathology Features
Douglas P. S. Gomes,
Michael J. Horry,
Anwaar Ulhaq
et al.
Abstract:The application of computer vision for COVID-19 diagnosis is complex and challenging, given the risks associated with patient misclassifications. Arguably, the primary value of medical imaging for COVID-19 lies rather on patient prognosis. Radiological images can guide physicians assessing the severity of the disease, and a series of images from the same patient at different stages can help to gauge disease progression. Hence, a simple method based on lung-pathology features for scoring disease severity from C… Show more
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