Covid-19 Detection Using ResNet 18 based Lung Extraction and CNN

In this global pandemic situation of coronavirus disease (COVID-19), it is of foremost priority to look up efficient and faster diagnosis methods for reducing the transmission rate of the virus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Recent research has indicated that radio-logical images carry essential information about the COVID-19 virus. Therefore, artificial intelligence (AI) assisted automated detection of lung infections may serve as a potential diagnostic tool. In this paper, we propose a new method for detecting COVID-19 using chest X-ray images. The proposed method can be described as a three-step process. The first step is the chest X-ray image feature enhancement. The second step includes the segmentation of the raw X-ray images using the ResNet18 for obtaining the lung images. In the final step, we feed the segmented lung images into a CNN network to get result. We got an overall efficiency of 99.5.