Covid-19 Detection using X-ray
DOI:
https://doi.org//10.32628/CSEIT228255Keywords:
Deep Learning, CNN, Image ProcessingAbstract
COVID-19 is considered to be the most dangerous and deadly disease for the human body caused by the novel coronavirus. To compact this disease, it is necessary to screen the affected patients in a fast and inexpensive way. With limited testing kits, it is impossible for every patient with respiratory illness to be tested using conventional techniques (RT-PCR). So, Chest X-ray being the most inexpensive and easily available option. Chest X-ray images are primarily used for the diagnosis of this disease. This research has proposed a machine vision approach to detect COVID-19 from the chest X-ray images. The features extracted by the convolutional neural network (CNN) from X-ray images to develop the classification model through training by CNN. Chest X-Ray being the most easily available and least expensive option. In this project, we have proposed a Deep Convolutional Neural Network-based solution which can detect the COVID-19 +ve patients using chest X-Ray images. Multiple state-of-the-art CNN models, have been adopted in the proposed work.
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