Different methods have been proposed in literature to solve the problem of segmentation of vascular structures. Here, we present a comparison of four different solutions: the level set method and three classifiers that use hand crafted features, two based on simple threshold and one on SVM. We first take a look at the theory behind each techniques then we explain how we implemented them in our work in order to create an au- tomatic segmentation method that can be applied inter-patient.
Comparison of algorithms for 3D arteries segmentations on WBMRA images
Degano, Giulio
2016/2017
Abstract
Different methods have been proposed in literature to solve the problem of segmentation of vascular structures. Here, we present a comparison of four different solutions: the level set method and three classifiers that use hand crafted features, two based on simple threshold and one on SVM. We first take a look at the theory behind each techniques then we explain how we implemented them in our work in order to create an au- tomatic segmentation method that can be applied inter-patient.File in questo prodotto:
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Utilizza questo identificativo per citare o creare un link a questo documento:
https://hdl.handle.net/20.500.12608/27488