Morphological classification of medical images using nonlinear support vector machines

Christos Davatzikos; Dinggang Shen; Zhiqiang Lao; Zhong Xue; Bilge Karacali

Morphological classification of medical images using nonlinear support vector machines

Christos Davatzikos, Dinggang Shen, Zhiqiang Lao, Zhong Xue, Bilge Karacali

School of Medicine

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

The wavelet decomposition of a high-dimensional shape transformation posed in a mass-preserving framework is used as a morphological signature of a brain image. Population differences with complex spatial patterns are then determined by applying a nonlinear support vector machine pattern classification method to the morphological signatures. By considering measurements from the entire image, and not only from isolated anatomical structures, and by using a highly non-linear classifier, this method has achieved very high classification results in a variety of tests.

Original language	English (US)
Title of host publication	2004 2nd IEEE International Symposium on Biomedical Imaging
Subtitle of host publication	Macro to Nano
Pages	587-590
Number of pages	4
State	Published - Dec 1 2004
Event	2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano - Arlington, VA, United States Duration: Apr 15 2004 → Apr 18 2004

Publication series

Name	2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano
Volume	1

Other

Other	2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano
Country/Territory	United States
City	Arlington, VA
Period	4/15/04 → 4/18/04

ASJC Scopus subject areas

Engineering(all)

Cite this

Morphological classification of medical images using nonlinear support vector machines. / Davatzikos, Christos; Shen, Dinggang; Lao, Zhiqiang et al.
2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano. 2004. p. 587-590 (2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Davatzikos, C, Shen, D, Lao, Z, Xue, Z & Karacali, B 2004, Morphological classification of medical images using nonlinear support vector machines. in 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano. 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano, vol. 1, pp. 587-590, 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano, Arlington, VA, United States, 4/15/04.

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M3 - Conference contribution

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ER -

Morphological classification of medical images using nonlinear support vector machines

Abstract

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