Awarded 2nd Prize for individual research within the Data Science Project Club, themed around Medical Image Clustering. The project developed and evaluated unsupervised clustering methods for nuclei segmentation in histopathology images, a scalable alternative to supervised techniques.
The work involved deep feature extraction from H&E stained images and a comparative analysis of three clustering approaches using the MoNuSeg 2018 dataset.