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
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
- 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