Rate the Article: A Comparative Study of Segmentation Techniques used for Brain Tumor Detection from Pre-processed MR Images, IJSR, Call for Papers, Online Journal
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Downloads: 119 | Views: 312

Comparative Studies | Computer Science & Engineering | India | Volume 3 Issue 12, December 2014 | Rating: 6.4 / 10


A Comparative Study of Segmentation Techniques used for Brain Tumor Detection from Pre-processed MR Images

Smita Zol, Dr. R. R. Deshmukh


Abstract: Image Segmentation is an important and challenging factor in the medical image segmentation. This paper presents comparative study of two techniques used for brain tumor detection from pre-processed MR Images. In one of the two methods, edge based segmentation technique is used and in the other one brain tumor is detected by using segmentation based on soft computing with Hierarchical Self Organizing Map (HSOM).


Keywords: Edge-based segmentation, color-based segmentation, HSOM, tumor detection


Edition: Volume 3 Issue 12, December 2014,


Pages: 2260 - 2263



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