This project uses a ResNet-18 model and train it on a COVID-19 Radiography dataset. This dataset has nearly 3000 Chest X-Ray scans which are categorized in three classes - Normal, Viral Pneumonia and COVID-19. The objective in this project is to create an image classification model that can predict Chest X-Ray scans that belong to one of the three classes with a reasonably high accuracy.
rajpratyush / covid-19-detection-using-chest-x-ray Goto Github PK
View Code? Open in Web Editor NEWDetecting COVID-19 with Chest X-Ray using PyTorch