Enhanced the quality of chest X-ray images to boost deep learning model accuracy for pneumonia classification.
To improve model accuracy by denoising, normalizing, and enhancing X-ray images.
- Improved model accuracy from 0.55 → 0.89 after preprocessing.
- Cleaner edges and higher contrast in diagnostic regions.