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Enhancing the Efficiency of Parallel Genetic Algorithms for Medical Image Processing with Hadoop

International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 108 - Number 17
Year of Publication: 2014
D. Peter Augustine

Peter D Augustine. Article: Enhancing the Efficiency of Parallel Genetic Algorithms for Medical Image Processing with Hadoop. International Journal of Computer Applications 108(17):11-16, December 2014. Full text available. BibTeX

	author = {D. Peter Augustine},
	title = {Article: Enhancing the Efficiency of Parallel Genetic Algorithms for Medical Image Processing with Hadoop},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {108},
	number = {17},
	pages = {11-16},
	month = {December},
	note = {Full text available}


In this paper, there is in-depth analysis of the parallel genetic algorithms used for segmentation of brain images and how their efficiency varies in the cloud setup with Hadoop. Since the current health care industry is moving towards the utmost usage of cloud to make the data available round the clock for the analysis, it is mandatory that the efficiency of the analysis also to be enhanced to produce the accurate result. Here, the focus is on the study of medical image processing that too narrowed down to the brain images with the help of parallel genetic algorithms in the cloud environment. The study aims to help the researchers to augment the competence of the algorithm when it functions in the remote cloud setup.


  • Di Geronimo, L. Ferrucci, F. Murolo, A. and Sarro, F. 2012. A Parallel Genetic Algorithm Based on Hadoop MapReduce for the Automatic Generation of JUnit Test Suites. IEEE Fifth International Conference on Software Testing, Verification and Validation (ICST). (April 2012), 785-793.
  • Muhammad, A. Bargiela, A. King, G. 1997. "Fine-Grained Parallel Genetic Algorithm: A Stochastic Optimisation Method," The First World Congress on Systems Simulation. (1997), 199-203
  • Apache Hadoop 2. 6. 0. http://hadoop. apache. org/docs/current. (November 2014)
  • The basic genetic algorithm. http://www. edc. ncl. ac. uk/highlight/rhjanuary2007g01. php. November 2014
  • Bulu, H. and Alpkocak, A. 2007. "Comparison of 3D Segmentation Algorithms for Medical Imaging," Twentieth IEEE International Symposium on Computer-Based Medical Systems. (June 2007), 269-274.
  • White, T. Hadoop: the Definitive Guide (2nd Edition) [M]. O'Reilly Media, 2010.
  • Yang Song. Alatorre, G. Mandagere, N. Singh, A. 2013. Storage Mining: Where IT Management Meets Big Data Analytics, Big Data (BigData Congress), IEEE International Congress.
  • Dipali, M. Joshi, Rana, N. K. and Misra, V. M. "Classification of Brain Cancer Using Artificial Neural Network" 2010 2nd International Conference on Electronic Computer Technology (ICECT 2010).
  • Divya, K. Utkarsha, S. and Paridhi, S. 2013. "Medical Image Segmentation using Genetic Algorithm," International Journal of Computer Applications, (Nov 2013), 9-15.
  • Elavarasi, K. and Jayanthy, A. K. "Soft sensor based brain tumor detection using CT-MRI," International Journal of Science, Engineering and Technology Research (IJSETR) Volume 2, Issue 10, 2013.
  • Angel, K. S. and Jayakumari, J. 2011. Automatic Detection of Brain Tumor based on Magnetic Resonance Image using CAD System with watershed segmentation. In Proceedings of 2011 International Conference on Signal Processing, Communication, Computing and Networking Technologies(ICSCCN 2011).
  • Mantas, P. And Andrius, U. 2007. "A Survey of Genetic Algorithms Applications For Image Enhancement And Segmentation," Information Technology And Control, Vol. 36, 278-284.
  • Peter, A. 2014. "Leveraging Big Data Analytics and Hadoop in Developing India's Healthcare Services," International Journal of Computer Applications, (March 2014), 44-50.
  • K. Selvanayaki, Dr. M. Karnan. " CAD System for Automatic Detection of Brain Tumor through Magnetic Resonance Image-A Review," International journal of Engineering Science and Technology, 2010, 5890-5901.
  • Francis, G. Parallel Genetic Algorithm, Chapter 3. http://whitedwarf. org/metcalfe/node8. htm. 2014
  • Intelligent Control Techniques in Mechatronics - Genetic algorithm. 3. 3. 10 http://www. ro. feri. uni-mb. si/predmeti/int_reg/Predavanja/Eng/3. Genetic%20algorithm/_16. html. November 2014