Smart Assistant for Intelligent Colon Cancer Segmentation

Research and development of an AI-based system for semantic segmentation of colon cancer in medical imaging.

The work focused on building the complete data and model development pipeline, including dataset creation, deep learning model development, and preparation of clinically relevant ground-truth annotations in collaboration with medical experts.

The system combines computer vision, deep learning, and medical data workflows to support more accurate and efficient analysis of medical imaging data.