Brain MRI Slices Classification Using Least Squares Support Vector Machine-Reference-Cited by-同舟云学术

Brain MRI Slices Classification Using Least Squares Support Vector Machine

Published:2007-01 Issue:1 Volume:1 Page:21-33
ISSN:1931-308X
Container-title:International Journal of Intelligent Computing in Medical Sciences & Image Processing
language:en
Short-container-title:International Journal of Intelligent Computing in Medical Sciences & Image Processing

Author:

Selvaraj H.,Selvi S. Thamarai,Selvathi D.,Gewali L.

Publisher

Informa UK Limited

Subject

Radiology Nuclear Medicine and imaging,General Computer Science

Link

http://www.tandfonline.com/doi/pdf/10.1080/1931308X.2007.10644134

Reference26 articles.

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2. E.Haack, et al., Magnetic Resonance Imaging, Physical Principles and Sequence Design. Wieley-Liss, New York, 1999.

3. M.C. Clark, L. O. Hall, D. B. Goldgof, L. P. Clarke, R. P. Velthuizen, and M. S. Silbiger, “MRI Segmentation using Fuzzy Clustering Techniques”, IEEE Engineering in Medicine and Biology, pp. 730–742,1994.

4. Automated Segmentation and Classification of Brain Magnetic Resonance Imaging - by Luiza Antonie www.cs.ualberta.ca/˜luiza/c615/proj.pdf

5. A. J. Smola and B. Schoelkopf, “A tutorial on support vector regression”, NeuroCOLT2 Technical Report Series NC2-TR-1998-030, ESPRIT working group on Neural and Computational Learning Theory, NeuroCOLT2, 1998.

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