Habitats and clustering
Habitat: sub-regions within the tumor ROI with similar imaging features; label maps use distinct colors per habitat.
Typical pipeline: preprocessing → habitat segmentation → feature extraction → (optional) machine learning.
Clustering strategies
Strategy |
When to use |
|---|---|
Two-Step (demo default) |
Multi-subject studies; supervoxels per subject, then population habitats |
One-Step |
Single-tumor exploration |
Direct Pooling |
Pool all voxels across subjects (special cases) |
How-to: Habitat segmentation . YAML: Habitat Segmentation Configuration .