Cascade algorithm combined Kohonen feature map with fuzzy C-means applied in MR brain image segmentation

Chung Chih Lin; Jeng Ren Duann; Hui Cheng Cheng; Jyh Horng Chen

Cascade algorithm combined Kohonen feature map with fuzzy C-means applied in MR brain image segmentation

Chung Chih Lin, Jeng Ren Duann, Hui Cheng Cheng, Jyh Horng Chen

認知神經科學研究所

研究成果: 雜誌貢獻 › 會議論文 › 同行評審

摘要

In this study, a cascade algorithm combined Kohonen feature map with FCM was applied to segment the MR brain images. The method we proposed was proved has better performance than FCM method usually used in image segmentation researches. Because the algorithm is unsupervised, it can reduce the errors caused by intraobserver and interobserver estimation. In this paper, we also utilized the MR images acquired by PAIR protocol to verify the result of the image segmentation.

原文	???core.languages.en_GB???
頁（從 - 到）	1079-1080
頁數	2
期刊	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
卷	3
出版狀態	已出版 - 1996
事件	Proceedings of the 1996 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 4 (of 5) - Amsterdam, Neth 持續時間: 31 10月 1996 → 3 11月 1996

引用此

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AB - In this study, a cascade algorithm combined Kohonen feature map with FCM was applied to segment the MR brain images. The method we proposed was proved has better performance than FCM method usually used in image segmentation researches. Because the algorithm is unsupervised, it can reduce the errors caused by intraobserver and interobserver estimation. In this paper, we also utilized the MR images acquired by PAIR protocol to verify the result of the image segmentation.

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Y2 - 31 October 1996 through 3 November 1996

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Cascade algorithm combined Kohonen feature map with fuzzy C-means applied in MR brain image segmentation

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