BREAST CANCER IMAGE SEGMENTATION USING EKSTRAP AND FCS ALGORITHM
Journal Title: International Journal of Computer Science Engineering and Information Technology Research (IJCSEITR) - Year 2017, Vol 7, Issue 3
Abstract
Image segmentation is a process of segmenting the image into different sections. We have done this process of image segmentation using clustering. We have performed EKSTAP and FCS Clustering Algorithms to obtain image segmentation. Then we compared the results with K Means. We noticed that, our technique of obtaining image segmentation gives better results with EKSTRAP and FCS Algorithm. Further, we use a standard classification algorithm called K Nearest Neighbors to identify which section of the image is cancerous and which is non-cancerous.
Authors and Affiliations
DEEPSHRI HEBBALKAR, SMITA NAIK, ANUJ DIVKAR, AVINKUMAR PEDNEKAR, VALERIE MENEZES, SHREEDATTA SAWANT
Keywords
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- EP ID EP227542
- DOI 10.24247/ijcseitrjun20175
- Views 114
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