Asadi Srinivasulu1*, Tarkeswar Barua1, Srinivas Nowduri2 and Sivaram R2
Today COVID-19 virus development has become one of the most broadly perceived kind of disease. This research work is accomplish different pre-training techniques and strategies associated, under deep recurrent networks (DRN) in classifying X-ray chest images into three broad collection viz., Normal/Negative, Pneumonia positive and COVID-19 positive; based on two other open-source data sets. This five-fold research work is based on data sets consists of 980 X-ray chest images of contaminated COVID-19 patients, along with experimentation using various deep[16] learning[31] and neural network methods; organized in the following way.
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