Probabilistic Multi-Label Shape Representations

PhD Student: Shawn Andrews
Principal Investigator: Ghassan Hamarneh
Alumni: Neda Changizi

Sources of uncertainty in medical images demand uncertainty-encoding shape representations. We propose the Isometric Log Ratio (ILR) transformation as a probabilistic multi-region representation and show how it enables a multi-region, probabilistic, convex segmentation with shape prior constraints.

- Visit the new ILR webpage.
- You may also be interested in a list of publications on shape uncertaintiy.


Site by Faculty of Applied Science web team, Simon Fraser University