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Comparative Studies | Computer Science Engineering | Volume 3 Issue 12, December 2014 | Pages: 2260 - 2263 | India
A Comparative Study of Segmentation Techniques used for Brain Tumor Detection from Pre-processed MR Images
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
How to Cite?: Smita Zol, Dr. R. R. Deshmukh, "A Comparative Study of Segmentation Techniques used for Brain Tumor Detection from Pre-processed MR Images", Volume 3 Issue 12, December 2014, International Journal of Science and Research (IJSR), Pages: 2260-2263, https://www.ijsr.net/getabstract.php?paperid=SUB14996, DOI: https://dx.doi.org/10.21275/SUB14996