Supervised segmentation of MRI brain images using combination of multiple classifiers-Reference-Cited by-同舟云学术

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Supervised segmentation of MRI brain images using combination of multiple classifiers

Published:2015-06 Issue:2 Volume:38 Page:241-253
ISSN:0158-9938
Container-title:Australasian Physical & Engineering Sciences in Medicine
language:en
Short-container-title:Australas Phys Eng Sci Med

Author:

Ahmadvand Ali,Sharififar Mohammad,Daliri Mohammad Reza

Publisher

Springer Science and Business Media LLC

Subject

Radiology Nuclear Medicine and imaging,Biomedical Engineering,Biophysics,General Physics and Astronomy

Link

http://link.springer.com/content/pdf/10.1007/s13246-015-0352-7.pdf

Reference30 articles.

1. Lin G-C, Wang WJ, Kang CC, Wang CM (2012) Multispectral MR images segmentation based on fuzzy knowledge and modified seeded region growing. Magn Reson Imaging 30(2):230–246

2. Ahmadvand A, Daliri M (2014) Brain MR Image Segmentation Methods and Applications. OMICS J Radiol 3:e130

3. Fischl B, Salat DH, Busa E, Albert M, Dieterich M, Haselgrove C, van der Kouwe A, Killiany R, Kennedy D, Klaveness S, Montillo A, Makris N, Rosen B, Dale AM (2002) Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron 33(3):341–355

4. Ji Z, Xia Y, Sun Q, Chen Q, Xia D, Feng DD (2012) Fuzzy local Gaussian mixture model for brain MR image segmentation. Inf Technol Biomed, IEEE Trans 16(3):339–347

5. Tohka J, Krestyannikov E, Dinov ID, Graham AM, Shattuck DW, Ruotsalainen U, Toga AW (2007) Genetic algorithms for finite mixture model based voxel classification in neuroimaging. Med Imaging, IEEE Trans 26(5):696–711

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