Title: A Novel Segmentation Approach for Brain Tumor in MRI

Year of Publication: 2015
Page Numbers: 98-103
Authors: Yong Wei, H. Keith Brown, Junfeng Qu
Conference Name: The Third International Conference on Digital Enterprise and Information Systems (DEIS2015)
- China


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.