Hybrid particle swarm optimization for automatically detect the breast border and nipple position to identify the suspicious regions on digital mammograms based on asymmetries

International Journal of Soft Computing

Volumn 3, Issue 3, 2008, Pages 220-223

  Karnan, M ^a   Sivakumar, R ^a   Almelumangai, M ^b   Selvanayagi, K ^b   Logeswari, T ^c  

^a Tamilnadu College of Engineering   (India)

^b ANNA UNIVERSITY   (India)

^c Department of Computer Science   (India)

Author keywords

Genetic algorithm (GA); Microcalcifications; Particle swarm optimization (PSO)

Indexed keywords

EID: 77952176336     PISSN: 18169503     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (18)

1. Cheng, H.D., X. Cai, X.W. Chen, L. Hu andX. Lou, 2003. Computer Aided Detection and Classification of Microcalcifications in Mammograms: A Survey. Pattern Recognition, 36: 2967-2991.
2. Ferrari, R.J., R.M. Rangayyan, J.E.L. Desautels and A.F. Frere, 2001. Analysis of Asymmetry in Mammograms via Directional Filtering With Gabor Wavelets. IEEE. Trans. Med. Imaging, 20: 953-964.
3. Goldberg, D.E., 1989. Genetic Algorithms in Search, Optimization and Learning. NY, Addison Wesley.
4. Kaman, M., K. Thangavel, K. Thanushkodi and K. Geetha, 2006a. Differential Geometry and Topology in the Perspective of Modem Trends. DGTPMT-2006, Dayalbagh Educational Institute, Agra, Pushpak Publications (In Press).
5. Karnan, M., K. Thangavel, K. Thanushkodi and K. Geetha, 2006b. EnchancementofMicrcalcifications in Digital Mammograms, GCEVISION. Proceedings Thirunelveli, pp: 363-370.
6. Karnan, M., K. Thangavel, K. Thanushkodi and K. Geetha, 2006c. Patrcle swarm optimization for mammogram Image analysis. Lecture notes on Engineers and computer scientists IMCES-Hongkong, pp: 115-120.
7. Karnan, M., K. Thangavel, K. Thanuskodi and K. Geetha, 2006d. Automatic Detection of Suspicious Regions on Digital Mammograms using Genetic Algorithm. DGTPMT-2006, Dayalbagh Educational Institute, Agra, Pushpak Publications (In Press).
8. Karnan, M., K. Thangavel, K. Geetha, K. Thanushkodi and R. Sivakumar, 2006e. Particle Swarm Optimization for Automatic Detection of the Suspicious Regions on Digital Mammograms. Algorithm International Conference on Intelligent Systems and Controls, Karpagam College of Engineering. Coimbatore, pp: 9-11.
9. Karnan, M., 2006. Intelligent System For Mammogram Image Analysis. PhD Dissipation, Gandhigram Rural University, Tamilnadu, India.
10. Karnan, M. andK. Thangavel, 2007. Automatic Detection of the Breast Border and Nipple Position on Digital Mammograms Using Genetic Algorithm. Int. J. Comput. Methods and Programs in Biomed. (Elsvier), 87: 12-20.
11. Lau, T.K. and W.F. Bischof, 1991. Automateddetection of breast tumors using the asymmetry approach. Comput. Biomed. Res., 24: 273-295.
12. Mendez, A.J., P.G. Tahocesb, M.J. Lado, M. Souto, J.L. Correa and J.J. Vidal, 1996. Automatic Detection of Breast Border and Nipple in Digital Mammograms. Comput. Methods andProgramsBiomed., 49: 253-262.
13. Muttarak, M., G. Peh and B. Chaiwun, 2004. Malignant germ cell tumors of undescended testes: Imaging features with pathological correlation. Clin. Radiol., 59: 198-204. 2004.
14. Sallam, M.Y. and K.W. Bowyer, 1999. Registration and difference analysis of corresponding mammogram images. Med. Image Anal., 3: 193-118.
15. Thangavel, K., M. Karnan, Siva R. Kumar and A. Kaja Mohideen, 2005. Automatic Detection of Microcalcification in Mammograms-A Review. Int. J. Graphics Vision and Image Processing, 5: 31-61.
16. Thangavel, K., M. Karnan, R. Siva Kumar and A. Kaja Mohideen, 2005. Segmentation and Classification of Microcalcification in Mammograms Using the Ant Colony System. Int. J. Artificial Intelligence and Machine Learning, 5: 29-40.
17. Thangavel, K. and M. Karnan, 2005. Computer Aided Diagnosis in Digital Mammograms: Detection of Microcalcifications by Meta Heuristic Algorithms. Int. J. Graphics Vision and Image Proc, 5: 41-55.
18. Thangavel, K. and M. Karnan, 2005. Automatic Detection of Asymmetries in Mammograms Using Genetic Algorithm. Int. J. Artificial Intelligence and Machine Learning, 5: 55-62.