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 .