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. |
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