Document Type

Conference Proceeding

Publication Date

4-2015

Abstract

Brain MRI image segmentation is one of the most important applications of image segmentation technique, and is an important part of clinical diagnostic tools. Segmented image can help physicians to identify tumor tissues in brain, and monitor effectiveness of chemotherapy treatments. However, manual segmentation of muscle regions is not only inaccurate, but also time consuming. In this work, Intensity Space Map (ISM) is used along with fuzzy c-means clustering algorithm to segment tumor regions in color MRI images. Experiments show the proposed ISM-based fuzzy c-means clustering brain MRI image segmentation yields promising results.

Publication Title

Proceedings of the Third International Conference on Digital Enterprise and Information Systems (DEIS2015)

First Page

98

Last Page

103

Comments

© 2015 SDIWC

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