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India | Computer Science Engineering | Volume 5 Issue 8, August 2016 | Pages: 1446 - 1449
Segmentation of Brain Tumor Using Bat Optimization to Distinguish WM, GM and CSF
Abstract: To detect tumor and then segment brain magnetic resonance image with the help of segmentation into different parts is a very challenging task and it emerges to help specialists in diagnosing tumor. In this context and to become aware of that particular region or tumor, this paper is presenting different techniques which have been used in former period. In the proposed work one of optimization technique is used i. e. BAT optimization which is used to detect tumor, edema, white matter, gray matter and cerebrospinal fluid.
Keywords: Brain tumor, BAT optimization, edema, white matter, gray matter, cerebrospinal fluid
How to Cite?: Gagandeep Kaur, Naveen Kumari, "Segmentation of Brain Tumor Using Bat Optimization to Distinguish WM, GM and CSF", Volume 5 Issue 8, August 2016, International Journal of Science and Research (IJSR), Pages: 1446-1449, https://www.ijsr.net/getabstract.php?paperid=ART20161220, DOI: https://dx.doi.org/10.21275/ART20161220
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