Application of Nature—Inspired Algorithms in Medical Image Processing
暂无分享,去创建一个
S. Kanimozhi Suguna | J. Sangeetha | R. Ranganathan | Shishir K. Shandilya | Shishir Kumar Shandilya | Smita Shandilya | S. Suguna | J. Sangeetha | Smita Shandilya | R. Ranganathan
[1] Luca Maria Gambardella,et al. Ant Algorithms for Discrete Optimization , 1999, Artificial Life.
[2] Ranjan Parekh,et al. Character Recognition using Dynamic Windows , 2012 .
[3] Fahd Mohsen,et al. A new image segmentation method based on particle swarm optimization , 2012, Int. Arab J. Inf. Technol..
[4] Sabre Kais,et al. Pivot method for global optimization , 1997 .
[5] P. Shanmugavadivu,et al. Segmentation of pectoral muscle in mammograms using fractal method , 2013, 2013 International Conference on Computer Communication and Informatics.
[6] Riccardo Poli,et al. New ideas in optimization , 1999 .
[7] Ali I. El-Desouky,et al. An efficient fast-response content-based image retrieval framework for big data , 2016, Comput. Electr. Eng..
[8] I. Borg,et al. Calculated x-ray powder patterns for silicate minerals , 1969 .
[9] Juan F. Ramirez-Villegas,et al. Microcalcification Detection in Mammograms Using Difference of Gaussians Filters and a Hybrid Feedforward-Kohonen Neural Network , 2009, 2009 XXII Brazilian Symposium on Computer Graphics and Image Processing.
[10] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[11] Wansheng Tang,et al. Monkey Algorithm for Global Numerical Optimization , 2008 .
[12] Sonali Bhadoria,et al. Removal of Pectoral Muscle in Mammograms using Statistical Parameters , 2012 .
[13] Gabriela Moise,et al. MASECO: A Multi-agent System for Evaluation and Classification of OERs and OCW Based on Quality Criteria , 2014, E-Learning Paradigms and Applications.
[14] A. Das,et al. GA Based Neuro Fuzzy Techniques for Breast Cancer Identification , 2008, 2008 International Machine Vision and Image Processing Conference.
[15] Kuan-Cheng Lin,et al. A Novel Feature Selection Method for Support Vector Machines Using a Lion’s Algorithm , 2014 .
[16] Mauro Birattari,et al. Toward the Formal Foundation of Ant Programming , 2002, Ant Algorithms.
[17] Yixin Yu,et al. Discrete monkey algorithm and its application in transmission network expansion planning , 2010, IEEE PES General Meeting.
[18] Paulraj Ranjith Kumar,et al. An optimal energy and power model for dynamic voltage scaled multiprocessor systems , 2012, Int. J. Bus. Inf. Syst..
[19] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[20] Mahrokh G. Shayesteh,et al. Forensic detection of image manipulation using the Zernike moments and pixel-pair histogram , 2013 .
[21] Chun-wan Yeung. An improved particle swarm optimization algorithm and its applications , 2010 .
[22] P. Vijaya,et al. Fractional Lion Algorithm-An Optimization Algorithm for Data Clustering , 2016, J. Comput. Sci..
[23] Osslan Osiris Vergara-Villegas,et al. A Hybrid System Based on a Filter Bank and a Successive Approximations Threshold for Microcalcifications Detection , 2009, J. Comput..
[24] Christian Blum,et al. Theoretical and practical aspects of ant colony optimization , 2004 .
[25] K. Thangavel,et al. Ant colony Optimization for Feature Selection and Classification of Microcalcifications in Digital Mammograms , 2006, 2006 International Conference on Advanced Computing and Communications.
[26] Krishna Chandramouli. Particle Swarm Optimisation and Self Organising Maps Based Image Classifier , 2007 .
[27] J. Anita Christaline,et al. Bio-Inspired Computational Algorithms for Improved Image Steganalysis , 2016 .
[28] S. J. Saritha,et al. Image Edge Detection Using Improved Ant Colony Optimization Algorithm , 2013 .
[29] Yongquan Zhou,et al. A Hybrid Monkey Search Algorithm for Clustering Analysis , 2014, TheScientificWorldJournal.
[30] Robert M. Haralick,et al. Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..
[31] Thangavel,et al. Fuzzy-Rough Feature Selection for Mammogram Classification , 2011 .
[32] Gary F. Dargush,et al. Multi-Objective Evolutionary Seismic Design with Passive Energy Dissipation Systems , 2009 .
[33] Michael G. Epitropakis,et al. Evolving cognitive and social experience in Particle Swarm Optimization through Differential Evolution: A hybrid approach , 2012, Inf. Sci..
[34] N. Raju,et al. Particle Swarm Optimization Methods for Image Segmentation Applied In Mammography , 2013 .
[35] K. Thangavel,et al. Fuzzy - Rough Feature Selection With Π- Membership Function For Mammogram Classification , 2012, ArXiv.
[36] Marco Mora,et al. Efficient exploitation of the Xeon Phi architecture for the Ant Colony Optimization (ACO) metaheuristic , 2017, The Journal of Supercomputing.
[37] Yuhui Shi,et al. Particle swarm optimization: developments, applications and resources , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).
[38] Sanjay Kumar Singh,et al. Design, analysis and classifier evaluation for a CAD tool for breast cancer detection from digital mammograms , 2013 .
[39] Poonam Singh,et al. A review of task scheduling based on meta-heuristics approach in cloud computing , 2017, Knowledge and Information Systems.
[40] Ahmad Taher Azar,et al. Hybrid Tolerance Rough Set: PSO Based Supervised Feature Selection for Digital Mammogram Images , 2013, Int. J. Fuzzy Syst. Appl..
[41] S Simonthomas.. Automated Diagnosis of Glaucoma using Haralick Texture Features , 2013 .
[42] S. Costantini,et al. Computational Methods for Protein Fold Prediction: an Ab-initio Topological Approach , 2007 .
[43] Si Wei,et al. Flow Updating in Real-Time Flood Forecasting Based on Runoff Correction by a Dynamic System Response Curve , 2014 .
[44] Shrinivas D. Desai,et al. Detection of Microcalcification in Digital Mammograms by Improved-MMGW Segmentation Algorithm , 2013, 2013 International Conference on Cloud & Ubiquitous Computing & Emerging Technologies.
[45] James Kennedy,et al. Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.
[46] George D. C. Cavalcanti,et al. Analysis of mammogram using self-organizing neural networks based on spatial isomorphism , 2007, 2007 International Joint Conference on Neural Networks.
[47] Cheng Haozhong,et al. Fault diagnosis of power transformer based on multi-layer SVM classifier , 2005 .
[48] Liejun Wang,et al. Method to Enhance Degraded Image in Dust Environment , 2014, J. Softw..
[49] B. Rajakumar. The Lion's Algorithm: A New Nature-Inspired Search Algorithm , 2012 .
[50] C. D. Gelatt,et al. Optimization by Simulated Annealing , 1983, Science.
[51] Antonio Trovato,et al. Geometry and physics of proteins , 2002, Proteins.
[52] K. Thangavel,et al. Unsupervised Feature Selection in digital mammogram image using rough set based entropy measure , 2011, 2011 World Congress on Information and Communication Technologies.
[53] Martín López-Nores,et al. Downsizing Semantic Reasoning to Fixed and Mobile DTV Receivers , 2007 .
[54] Elizabeth Sherly,et al. A Novel Approach for Removal of pectoral muscles in Digital Mammogram , 2015 .
[55] Hui Wang,et al. Opposition-based particle swarm algorithm with cauchy mutation , 2007, 2007 IEEE Congress on Evolutionary Computation.
[56] Fariborz Jolai,et al. Lion Optimization Algorithm (LOA): A nature-inspired metaheuristic algorithm , 2016, J. Comput. Des. Eng..
[57] K. Thangavel,et al. Automatic Mammogram image Breast Region Extraction and Removal of Pectoral Muscle , 2013, ArXiv.
[58] Essam Al Daoud,et al. A Hybrid Algorithm Using a Genetic Algorithm and Cuckoo Search Algorithm to Solve the Traveling Salesman Problem and its Application to Multiple Sequence Alignment , 2013 .
[59] Marco Dorigo,et al. Deception in Ant Colony Optimization , 2004, ANTS Workshop.
[60] T. A. Pham. Optimization of Texture Feature Extraction Algorithm , 2010 .