Author : Yasovar Tammareddy 1
Date of Publication :8th November 2022
Abstract: With the onset of the pandemic in 2020, X-Rays have found their ways in being a means to detect what is known as the Covid-19 virus. This means being able to predict the presence of the Sars-CoV-2 virus based on a Single X-Ray, and not resorting to multiple tests etc. Being able to accurately report the presence of the SarS virus based on an X-Ray would be a breakthrough and would be cost efficient as the steps to find the presence of the virus are now simplified to just a single step. To automate the process of detecting the presence of a virus, we use Deep Learning. As a part of the project, instead of resorting to traditional CNN modelling techniques where we apply CNN directly on the images, here, we first use a Filter approach on the image followed by training using CNN models to see how the model performs.
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