Revolutionizing Medical Imaging with Deep Learning

I’m excited to share my latest project focused on Pneumothorax detection using chest X-ray images. Detecting such conditions requires high precision, which is why I focused heavily on the Computer Vision pipeline.

​Key Highlights:

​Advanced Preprocessing: Implemented CLAHE (Contrast Limited Adaptive Histogram Equalization) and noise reduction techniques to enhance image features and improve model interpretability.

​Robust Data Pipeline: Built a scalable pipeline to handle large medical datasets (Kaggle) efficiently.

​Impact: The goal is to assist radiologists in faster and more accurate diagnosis through AI.

​Deep learning in healthcare is challenging but incredibly rewarding. I'm looking forward to refining the model further.