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Image processing / Geostatistics / Multivariate statistics / K-nearest neighbor algorithm / Kernel density estimation / Segmentation / Statistical classification / K-means clustering / Density estimation / Statistics / Non-parametric statistics / Machine learning


A Novel Bayesian Approach to Adaptive Mean Shift Segmentation of Brain Images Qaiser Mahmood, Artur Chodorowski, Andrew Mehnert, Mikael Persson Department of Signals and Systems, MedTech West, Chalmers University of Tech
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Document Date: 2012-08-30 06:11:02

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Facility

Chalmers University of Technology / /

IndustryTerm

proposed mean shift algorithm / pre-processing steps / post-processing steps / medical imaging / proposed segmentation algorithm / segmentation algorithm / k-means clustering algorithm / mean shift algorithm / mean-shift algorithm / adaptive mean-shift algorithm / /

MusicGroup

B. C. / /

Organization

American Statistical Association / Chalmers University of Technology / Mikael Persson Department of Signals and Systems / /

Person

A. Mayer / D. Comaniciu / V / D. Vandeurmeulen / H. Greenspan / J. Goldberger / A. Ruf / K. Van Leemput / F. Maes / P. Suetens / Mikael Persson / Andrew Mehnert / Artur Chodorowski / /

PublishedMedium

Journal of the American Statistical Association / /

Technology

mean-shift algorithm / BAMS algorithm / proposed algorithm / segmentation algorithm / mean shift algorithm / k-means clustering algorithm / proposed segmentation algorithm / proposed mean shift algorithm / Tanimoto coefficient Algorithm / adaptive MS algorithm / kNN-AMS algorithm / Dice coefficient Algorithm / adaptive mean-shift algorithm / simulation / kNN-AMS* algorithm / automated algorithm / MRI / medical imaging / /

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http /

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