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The aim of this study is to develop an automatic accurate skull stripping method based on deformable models and histogram analysis.
The segmentation framework, currently based on deformable models, uses a template solution for dynamical composition and creation of two- and three-dimensional methods.
In Section 5, we describe a very important part of the segmentation techniques based on deformable models, namely the topology changes scheme.
This allows a very efficient parallelization, which is very hard to obtain with other popular methods based on deformable models framework.
Many are based on deformable models, like Active Appearance Models (AAMs), due to their ability to capture shape and texture variability, providing a compact representation of facial features [5, 6, 13, 29, 36].
The TAV model has differed from the first methods based on deformable models, in which the segmentation was performed using solely boundary information and the result included only a contour or a surface describing the shape of the objects of interest.
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Recently, Schröder, Levitt and Brunger reported that the quality of low-resolution structural models was improved by refining against a potential function that incorporated an energy term based on deformable elastic networks [8].
The theories developed have been implemented and tested using a real-time tracking system based on deformable contours.
This paper describes a novel strategy for automatic contour propagation, based on deformable registration, for CT images of lung cancer.
Methods based on deformable active contours are receiving more attention in this category for PET image segmentation [ 16].
In this article, a binocular AO system based on deformable mirrors as the wavefront corrector is introduced to study binocular visual performance in normal polychromatic viewing conditions.
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based on predictive models
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