X-Ray Chest Diagnostic

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 🫁🩺.

Task Details:

• covid: 294 cases
• normal: 468 cases
• virus: 433 cases

1. Using Resizing for Different shapes as grayscale, RGB, etc.
2. Normalizing the images.
3. Using a custom model.
4. Using a pretrained model.