MIAL

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.

 

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