An Approach to Brain Cancer Feature Extraction Based on Bat Algorithms

Authors

  • Rajaa J. Khanjar Department of Computer Science, dyl University, Baghdad, Iraq.

Keywords:

Approach, Brain Cancer, Extraction, Bat Algorithms

Abstract

The brain is an organ that can be found in every living organism, in one form or
another. The brain is a group of specialised nerve cells that lie in the skull
enabling the vertebrates to perform several activities. Cancer is as real and
complex a disease as it can get and we need a chance to address it. Here, you
have the chance to employ the bat approach in order to distinguish whether the
particular figure is ill or not by specifying the strong characteristics that might
evidence that the certain figure is wounded and needs to minimize the area of
tasks. Thus, the fatness of each generation is evaluated by the solution that also
means the solution and the extraction of the strong features.

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References

E. Ben George, G. Jeba Roseline, D. Gnana Rajesh “Brain Tumor Segmentation using Cuckoo Search Optimization for Magnetic Resonance Images” Proceedings of the 8th IEEE GCC Conference and Exhibition, Muscat, Oman, 1-4 February, IEEE, 2015

Yogita Gigras, Kusum Gupta, Vandana, Kavita Choudhary et.al (2015) in “A Comparison between Bat Algorithm and Cuckoo Search for Path Planning” IIRC( ISSN online: 2320-9801) Vol. 3, Issue 5, May 2015.

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R.Preetha, G.R.Suresh et.al in “Performance Analysis of Fuzzy C Means Algorithm in Automated Detection of Brain Tumor”, IEEE, 2013.

Kailash Sinha, G.R.Sinha et.al in “Efficient Segmentation Methods for Tumor Detection in MRI Images”, IEEE, 2014.

Koushik Pal, Goutam Ghosh, Subhajit Koley, Mahua Bhattacharya et.al in “GUI based Brain Tumor Identification System by Detecting Infected Region through a Combination of Region Growing, Cryptography and Digital Watermarking Technique”, IEEE, 2014.

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Published

2024-08-20

How to Cite

Khanjar, R. J. (2024). An Approach to Brain Cancer Feature Extraction Based on Bat Algorithms. Current Clinical and Medical Education, 2(08), 337–343. Retrieved from https://www.visionpublisher.info/index.php/ccme/article/view/167

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