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View all- Tamajka MBenesova W(2016)Automatic brain segmentation method based on supervoxels2016 International Conference on Systems, Signals and Image Processing (IWSSIP)10.1109/IWSSIP.2016.7502713(1-4)Online publication date: May-2016
This paper addresses the issue of the weak association between brain MRI intensity value and anatomical meaning of MR image pixels. By investigating the deformation on brain lateral ventricles and compression from tumor, the correlation between them is ...
Segmentation of MR brain images using intensity values is severely limited owing to field inhomogeneities, susceptibility artifacts and partial volume effects. Edge based segmentation methods suffer from spurious edges and gaps in boundaries. A multiscale ...
In this paper, we present an unsupervised, automated technique for brain tissue segmentation based on multivariate magnetic resonance (MR) and spectroscopy images, for patients with gliomas. The algorithm uses spectroscopy data for coarse detection of ...
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