Covid19-prediction-using-chest-X_ray

Using Convolutional Neural Network (CNN) for predicting if a patient is affected with covid 19. There was a need for rapid evaluation of the covid test results Blood test are costly takes large time to do test. If we can test X-ray, we can also find the extent of the disease severety. We can do classification based on the image classification and segmentation techniques. We are using a CNN based model. We have a date of positive covid samples (chest X-ray) which was being recorded by a group of docters on github which have 142 positive covid samples. We also need negative samples, so we have a popular dataset on kaggle that is ches xray dataset. Chest X-ray dataset gives the images in three category i.e. Normal, Bacterial pnemonia, Viral pnemonia. This model should work on the other diseases prediction if there is distict differentiation.