Shaad Fazal defends his MASc thesis

Shaad successfully defended his MASc thesis:

Cervical Cell Separation using Deep Learning Techniques.

This research introduced a deep learning-based pipeline for separating overlapping cervical cells in cytology images, leveraging advanced segmentation and generative models to produce clear, individual cell images. This approach significantly improves diagnostic accuracy and outperforms existing techniques.

Congratulations Shaad Fazal!