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

Research output: Contribution to journalConference articlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)1079-1080
Number of pages2
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume3
StatePublished - 1996
EventProceedings of the 1996 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 4 (of 5) - Amsterdam, Neth
Duration: 31 Oct 19963 Nov 1996

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