The aim of this task is to diagnose the chest X-rays for three cases: normal, COVID, and virus. The classes are almost balanced, and the number of images is small with different shapes, so it is a good idea to use Transfer Learning 🫁🩺.
- covid: 294 cases
- normal: 468 cases
- virus: 433 cases
- Using Resizing for Different shapes as grayscale, RGB, etc.
- Normalizing the images.
- Using a custom model.
- Using a pretrained model.