Improving the runtime of MRF based method for MRI brain segmentation-Reference-Cited by-同舟云学术

Improving the runtime of MRF based method for MRI brain segmentation

Published:2015-04 Issue: Volume:256 Page:808-818
ISSN:0096-3003
Container-title:Applied Mathematics and Computation
language:en
Short-container-title:Applied Mathematics and Computation

Author:

Ahmadvand Ali,Daliri Mohammad Reza

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics

Reference36 articles.

1. Current methods in medical image segmentation 1;Pham;Annu. Rev. Biomed. Eng.,2000

2. An automated technique for statistical characterization of brain tissues in magnetic resonance imaging;Pham;Int. J. Pattern Recogn. Artif. Intell.,1997

3. A non-local fuzzy segmentation method: application to brain MRI;Caldairou;Pattern Recogn.,2011

4. X.-L. Jin, T.-S. Lin, L. Liao, T. Wang, Multi-spectral MRI brain image segmentation based on kernel clustering analysis, in: 2012 International Conference on System Engineering and Modeling (ICSEM 2012) IPCSIT, 2012.

5. Modified fuzzy c-means algorithm for segmentation of T1–T2-weighted brain MRI;Ramathilagam;J. Comput. Appl. Math.,2011

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