MUSE: MUlti-atlas region Segmentation utilizing Ensembles of registration algorithms and parameters, and locally optimal atlas selection
文摘

A new multiatlas segmentation framework using a broad ensemble of labeled templates

Combines different atlases, warping algorithms, and regularization parameters

Uses an adaptive fusion strategy through local similarity weighting and intensity based refinement

Ensemble approach provides robustness to image variations and produces accurate segmentations.

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