Classification of cross-section area of spinal canal on kernel-based support vector machine

Chao Cheng Wu, Hsiao Chi Li, Yung Hsiao Chiang, Jiannher Lin

研究成果: 書貢獻/報告類型會議貢獻

3 引文 (Scopus)

摘要

The cross section area of spinal canal has been an important indicator for lumbar spinal stenosis (LSS), which remains the leading preoperative diagnosis for adults older than 65 years. Due to its irregularity in spatial shape and lack of spectral information, this region can only be defined by doctors manually and calculated the amount of area by commercial software at present. The solution for reliable and robust classification and measurement remains open. This manuscript utilized kernel-based support vector machine to provide an automatically classification and measurement of the cross-section area of spinal canal. This kernel-based SVM classifier is compared with the linear SVM proposed in [1] and the present method. The experiments showed that the kernel based-SVM classifier could provide a better performance and robust classification result for the cross section area of spinal canal.
原文英語
主出版物標題Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
頁面2622-2625
頁數4
DOIs
出版狀態已發佈 - 2012
事件2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012 - Seoul, 大韓民國
持續時間: 十月 14 2012十月 17 2012

其他

其他2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012
國家大韓民國
城市Seoul
期間10/14/1210/17/12

指紋

Canals
Support vector machines
Classifiers
Experiments

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Human-Computer Interaction

引用此文

Wu, C. C., Li, H. C., Chiang, Y. H., & Lin, J. (2012). Classification of cross-section area of spinal canal on kernel-based support vector machine. 於 Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics (頁 2622-2625). [6378142] https://doi.org/10.1109/ICSMC.2012.6378142

Classification of cross-section area of spinal canal on kernel-based support vector machine. / Wu, Chao Cheng; Li, Hsiao Chi; Chiang, Yung Hsiao; Lin, Jiannher.

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics. 2012. p. 2622-2625 6378142.

研究成果: 書貢獻/報告類型會議貢獻

Wu, CC, Li, HC, Chiang, YH & Lin, J 2012, Classification of cross-section area of spinal canal on kernel-based support vector machine. 於 Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics., 6378142, 頁 2622-2625, 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012, Seoul, 大韓民國, 10/14/12. https://doi.org/10.1109/ICSMC.2012.6378142
Wu CC, Li HC, Chiang YH, Lin J. Classification of cross-section area of spinal canal on kernel-based support vector machine. 於 Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics. 2012. p. 2622-2625. 6378142 https://doi.org/10.1109/ICSMC.2012.6378142
Wu, Chao Cheng ; Li, Hsiao Chi ; Chiang, Yung Hsiao ; Lin, Jiannher. / Classification of cross-section area of spinal canal on kernel-based support vector machine. Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics. 2012. 頁 2622-2625
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