Ensemble Deep Convolution Neural Network for Sars-Cov-V2 Detection

The continuing Covid-19 pandemic, caused by the SARS-CoV2 virus, has attracted eye of researchers and many studies have focussed on controlling it. affected daily life, employment, health human beings along with socio-economic disruption. Deep Learning (DL) shown great potential in various medical applications past decade continues to assist effective image analysis. Therefore, it is effectively being utilized explore its pandemic. Chest X-Ray (CXR) images were used pertaining DL for With burgeoning cases day, becomes imperative screen patients whose CXR show a tendency infection. Several innovative Convolutional Neural Network (CNN) models been proposed so far classifying images. Moreover, some transfer learning (TL) approach state-of-art CNN classification task. In this paper, we do comparative study these TL approaches an ensemble Convolution model (DCNN)