Original paper
Automated MRI brain tissue segmentation based on mean shift and fuzzy c -means using a priori tissue probability maps
Abstract
This paper presents a novel fully automated unsupervised framework for the brain tissue segmentation in magnetic resonance (MR) images. The framework is a combination of Bayesian-based adaptive mean shift, a priori spatial tissue probability maps and fuzzy c-means. Mean shift is employed to cluster the tissues in the joint spatial-intensity feature space and then a fuzzy c-means is applied with initialization by a priori spatial tissue...
Paper Details
Title
Automated MRI brain tissue segmentation based on mean shift and fuzzy c -means using a priori tissue probability maps
Published Date
Jun 1, 2015
Journal
Volume
36
Issue
3
Pages
185 - 196
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History