Research Focus

The Guelph Imaging AI Lab does work in research using AI technology to solve problems in the field of medical imaging.
Image analysis tasks done in our lab include:

Image segmentation
Computer-aided detection and diagnosis
Image quality assessment
Image registration

Technologies the GI AI lab uses in our research

“Translational engineering innovations in medical imaging”, with a specific focus on the development of algorithmic solutions supporting disease diagnosis and prognosis.

Image Segmentation

Image segmentation is the process of partitioning an image into multiple meaningful regions. This is the first stage in imaging workflows, involving analyzing and interpreting medical images automatically.

Role of AI

Increase in:

Big data
Computational power
Efficient algorithms and modern optimization methods
Built in libraries
Learning resources
Rapid testing time

Deep Learning allows researchers to increase performance with an increasing amount of data