Detecting COVID-19 from Chest X-Ray Images

Mahesh Tunguturi

Abstract


COVID-19 is a fatal condition that can cause long-term damage to the lungs and other organs. It can be life-threatening if immediate action is not done, thus early identification is critical. The goal of this work is to apply deep learning models to recognise COVID-19 pictures from chest X-rays. Because COVID-19 damages respiratory epithelial cells, we may utilise X-rays to assess the patient's lung status. Deep learning-based recommender systems can be particularly beneficial when the number of patients is unusually great and hence the needed radiological competence is minimal. The objective is to employ pre-trained algorithms to create an image classification model that can accurately predict Covid-19 in Chest X-Ray images. 

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