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