Brain Tumor Detection Modern Improved by using PSO Technique |
Author(s): |
| Pooja Sahu , SisTec, Bhopal; Prof. Amit Ganguli, SisTec, Bhopal |
Keywords: |
| Magnetic resonance imaging (MRI), computed tomography, Image Segmentation, Region of Interest (ROI) |
Abstract |
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Brain tumor detection and removal is one medical major issue that still remains difficult in the area of biomedicine. Early imaging methods such as pneumoence phalography and cerebral angiography had the disadvantage of being all-encompassing and hence the CT and MRI imaging procedures help the surgeons in providing a better vision. In this paper, a new method is proposed for tumor detection using morphological operations to address brain tumor from MRI images to be used new method using particle swarm optimization technique to recognize and remove the boundary condition of a brain tumor proposed algorithm make available a robust technique in expressions of accuracy and computation time, making it suitable for real-time processing. Results also show that this algorithm is skilled of producing continuous edges with accurate positioning of particular region where tumor was detected. |
Other Details |
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Paper ID: IJSRDV7I110214 Published in: Volume : 7, Issue : 11 Publication Date: 01/02/2020 Page(s): 126-132 |
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