CNN Based Covid-19 Detection from Image Processing

Covid-19 is a respirational condition that looks much like pneumonia. It highly contagious and has many variants with different symptoms. poses the challenge of discovering new testing detection methods in biomedical science. X-ray images CT scans provide high-quality information-rich images. These can be processed convolutional neural network (CNN) to detect diseases such as pulmonary system high accuracy. Deep learning applied help develop identify infection. Based on research problem, this study defined outcome reducing energy costs expenses detecting Analysis results was done by comparing CNN model DenseNet model, where first achieved more accurate performance than second.