L2M – The Edge-Aware Diffusion for Contrast Enhancement

Artificial intelligence tools for contrast enhancement in medical imaging often improve visibility but may remove subtle structural details, reducing diagnostic reliability and clinical confidence. This project focuses on validating and preparing for the commercialization of the Edge-Aware Diffusion for Contrast Enhancement framework, which uses an edge-aware diffusion process to improve image contrast while preserving fine anatomical boundaries.

Through the Lab2Market Validate program, this internship will connect with radiologists, imaging engineers, and artificial intelligence specialists to evaluate clinical usability, interpretability, and integration needs. Insights from expert interviews will guide prototype refinement and the development of a business model and commercialization plan.

The project supports the growth of Canadas medical technology sector by combining scientific validation with stakeholder engagement to build safer, more reliable imaging tools that improve diagnostic accuracy and reduce healthcare costs.

Faculty Supervisor:

Amirali Baniasadi

Student:

Partner:

I-INC

Discipline:

Engineering

Sector:

Health and Related Sciences & Technology

University:

University of Victoria

Program: