In this project I used 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. Our 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 reasonably high accuracy.
Detecting COVID-19 with Chest X Ray using PyTorch Image classification of Chest X Rays in one of three classes: Normal, Viral Pneumonia, COVID-19
Notebook created for the guided project Detecting COVID-19 with Chest X Ray using PyTorch on Coursera
- Dataset from COVID-19 Radiography Dataset on Kaggle
- Using PyTorch version 1.5.1
