Neural Network based Covid-19 Diagnosis using X-ray and CT Scan Images

Covid-19 is a lung disease that has recently spread widely worldwide. Therefore, machine learning was used in patient health care and early disease detection before the patient’s condition worsened. In this research, we used two data sets: the first group is represented by X-ray medical images, and ct images represent the second group. For each group, 250 RGB medical images of Covid-19, using the developed artificial neural networks (ANN) algorithm, are trained on image data to verify and test them. Moreover, we compared the two groups of medical images, X-ray and CT, with 15 neurons. Our results showed that the ANN performed exceptionally well. Performance indicators, including accuracy, sensitivity, specificity, F1 score, and accuracy, were 99.8% for the first group and 100% for the second group. Moreover, our method outperformed previous machine learning models.