MRI breast cancer diagnosis hybrid approach using adaptive ant-based segmentation and multilayer perceptron neural networks classifier

Applied Soft Computing Journal

Volumn 14, Issue PART A, 2014, Pages 62-71

  Hassanien, Aboul Ella ^a,d   Moftah, Hossam M ^b,d   Azar, Ahmad Taher ^c,d   Shoman, Mahmoud ^a  

^a Cairo University   (Egypt)

^b Department of Information Systems   (Egypt)

^c Benha University ^*  (Egypt)

^d Scientific Research Group in Egypt   (Egypt)

Author keywords

Ant Colony Optimization (ACO); Clustering; Magnetic resonance (MR) images; Neural network classifier; Segmentation; Swarm intelligence

Indexed keywords

ANT COLONY OPTIMIZATION (ACO); ANT-BASED CLUSTERING ALGORITHM; CLUSTERING; FEATURE EXTRACTION TECHNIQUES; MULTI LAYER PERCEPTRON NEURAL NETWORKS (MLPNN); MULTI-LAYER PERCEPTRON NEURAL NETWORKS; NEURAL NETWORK CLASSIFIER; SWARM INTELLIGENCE;

ANT COLONY OPTIMIZATION; CLUSTERING ALGORITHMS; DISEASES; FEATURE EXTRACTION; FUZZY SETS; HYBRID SYSTEMS; IMAGE SEGMENTATION; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; NEURAL NETWORKS;

MEDICAL IMAGING;

EID: 84888301025     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2013.08.011     Document Type: Article

References (31)

1. A.E. Hassanien, and T. Kim Breast cancer MRI diagnosis approach using support vector machine and pulse coupled neural networks Journal of Applied Logic 10 4 2012 277 284
2. Behrens, H. Laue, M. Althaus, T. Boehler, B. Kuemmerlen, H.K. Hahn, and H. Peitgen Computer assistance for MR based diagnosis of breast cancer: present and future challenges Comp (Pubitemid 46601788)
3. P. Ensafi, and H.R. Tizhoosh Type-2 fuzzy image enhancement Lecture Notes in Computer Science 3656 2005 159 166
4. M.F. Tolba, G.M. Mostafa, T.F. Gharib, T.F. Gharib, and M. Abdel-Megeed Salem MR-Brain Image Segmentation Using Gaussian Multiresolution Analysis and the EM Algorithm Proceedings of the 5th International Conference on Enterprise Information Systems (ICEIS) Angers, France, April 22-26 2003 165 170
5. V. Aswin, and S. Deepak Medical diagnostics using cloud computing with fuzzylogic and uncertainty factors in mobile devices Lecture Notes on Software Engineering 1 1 2013 117 121
6. A.E. Hassanien, O.S. Soliman, and N. El-Bendary Contrast enhancement of breast MRI images based on fuzzy Type-II, soft computing models in industrial and environmental applications 6th International Conference Soft Cmputing, vol. 87 2011 77 83
7. Q.A. Ali, K.N. Umi, A.M.I. Nor, and L.S. Ibrahim Breast MRI tumour segmentation using modified automatic seeded region growing based on particle swarm optimization image clustering Online Conference on Soft Computing in Industrial Applications Anyware on Earth, December 10-21 2012
8. A.K. Jain Data clustering: 50 years beyond K-means Pattern Recognition Letters 31 2010 651 666
9. A. Betanzosa, A. Varelaa, and C. Martinez Analysis and evolution of hard and fuzzy clustering segmentation techniques in burned patient images Image and Vision Computing 18 13 2000 1045
10. R. Hussain Fuzzy clustering based malignant areas detection in noisy breast magnetic resonant (MR) images International Journal of Academic Research 3 2 2011
11. G.S. Tewolde, and D.M. Hanna Particle Swarm Optimization for classification of breast cancer data using single and multisurface methods of data separation IEEE International Conference on Electro/Information Technology 2007 443 446
12. M.E. Megahed, R.M. Ismail, N.L. Badr, and M.F. Tolba An enhanced cloud-based view materialization approach for peer-to-peer architecture Communications in Computer and Information Science 322 2012 401 412
13. L. Chuang, Y. Lin, H. Chang, and C. Yang An improved PSO algorithm for generating protective SNP barcodes in breast cancer PLoS ONE 7 5 2012 e37018 10.1371/journal.pone.0037018
14. Y. Wei-Chang, C. Wei-Wen, and Y.C. Yuk A new hybrid approach for mining breast cancer pattern using discrete particle swarm optimization and statistical method Expert Systems with Applications 36 4 2009 8204 8211
15. R. Ganesan, and S. Radhakrishnan Segmentation of computed tomography brain images using genetic algorithm International Journal of Soft Computing 4 4 2009 157 161
16. Dheeba, and S.T. Selvi A CAD system for breast cancer diagnosis using modified genetic algorithm optimized artificial neural network Swarm, Evolutionary, and Memetic Computing 10 2013 1694-0814
17. S.K. Akbar, M. Mirkamal, and S. Aidin A new method for medical image clustering using genetic algorithm IJCSI International Journal of Computer Science Issues 7076 2011 349 357
18. D. Qin, and G. Jim A genetic algorithm for clustering on image data International Journal of Information and Mathematical Sciences 1 1 2005
19. Q. Salima, and B. Mohamed An efficient ant algorithm for swarm-based image clustering Journal of Computer Science 3 3 2007 162 167
20. D. Marco, B. Mauro, and S. Thomas Ant colony optimization - artificial ants as a computational intelligence technique IEEE Computational Intelligence Magazine 2006 1556 1603
21. M. Dorigo, V. Maniezzo, and A. Colorni Ant system: optimization by a colony of cooperating agents IEEE Transactions on Systems, Man, and Cybernetics, Part B 26 1996 29 41 (Pubitemid 126780573)
22. L. Zhang, Q. Cao, J. Lee, A novel ant-based clustering algorithm using Renyi entropy, Applied Soft Computing, Available online 5 December 2012.
23. W. Wua, S. Lina, and W.K. Moonb Combining support vector machine with genetic algorithm to classify ultrasound breast tumor images Computerized Medical Imaging and Graphics 36 8 2012 627 633
24. R. Karaks, M. Tez, Y.A. Klc, Y. Kuru, and I. Guler A genetic algorithm model based on artificial neural network for prediction of the axillary lymph node status in breast cancer Engineering Applications of Artificial Intelligence 26 3 2013 945 950
25. W. Yeh, W. Chang, and Y.Y. Chung A new hybrid approach for mining breast cancer pattern using discrete particle swarm optimization and statistical method Expert Systems with Applications 36 4 2009 8204 8211
26. A.E. Hassanien Intelligence techniques for prostate ultrasound image analysis International Journal of Hybrid Intelligent Systems 6 3 2009 155 167
27. J.L. Deneubourg, S. Goss, N. Franks, A. Sendova-Franks, C. Detrain, and L. Chretien The dynamic of collective sorting robot-like ants and ant-like robots J.A. Meyer, S.W. Wilson, SAB 90-1st Conf. on Simulation of Adaptive Behavior: From Animals to Animats 1991 MIT Press
28. J. Deneubourg, S. Aron, S. Goss, and J.M. Pasteels The self-organizing exploratory pattern of the argentine ant Journal of Insect Behavior 3 2 1990 159 168
29. E.D. Lumer, and B. Faieta Diversity and adaptation in populations of clustering ants D. Cli, P. Husbands, J. Meyer, S. Wilson, From Animals to Animats 3, Proceedings of the 3rd International Conference on the Simulation of Adaptive Behavior 1994 The MIT press/Bradford Books
30. I.G. Clopinet, and A. Elisseeff An introduction to variable and feature selection The Journal of Machine Learning Research 3 2003 1157 1182
31. T. Ojola, and M. Pietikainen Unsupervised texture segmentation using feature distribution Pattern Recognition 32 1999 447 486