Attribute-Filtering and Knowledge Extraction for Vessel Segmentation
Identifieur interne : 003174 ( Main/Merge ); précédent : 003173; suivant : 003175Attribute-Filtering and Knowledge Extraction for Vessel Segmentation
Auteurs : Benoît Caldairou [France] ; Nicolas Passat [France] ; Benoît Naegel [France]Source :
- Lecture Notes in Computer Science [ 0302-9743 ]
Abstract
Abstract: Attribute-filtering, relying on the notion of component-tree, enables to process grey-level images by taking into account high-level a priori knowledge. Based on these notions, a method is proposed for automatic segmentation of vascular structures from phase-contrast magnetic resonance angiography. Experiments performed on 16 images and validations by comparison to results obtained by two human experts emphasise the relevance of the method.
Url:
DOI: 10.1007/978-3-642-17289-2_2
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