Contextual and non-contextual features extraction and a selection method for microcalcifications detection

2006 World Automation Congress, WAC'06

Volumn , Issue , 2006, Pages

  Vega Corona, Antonio ^a   Sánchez García, Moisés ^a   González Romo, Mario ^a   Quintanilla Domínguez, Joel ^a   Barron Adame, J Miguel ^a  

^a UNIVERSITY OF GUANAJUATO   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE PROCESSING; MATHEMATICAL MODELS; NEURAL NETWORKS; REGRESSION ANALYSIS; VECTORS; WAVELET ANALYSIS;

GENERALIZED REGRESSION NEURAL NETWORKS (GRNN); MICROCALCIFICATIONS DETECTION; SHORT INPUT VECTORS; WAVELET IMAGE PROCESSING;

FEATURE EXTRACTION;

EID: 36949000649     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WAC.2006.375924     Document Type: Conference Paper

References (10)

1. American Cancer Society. Cancer facts and figures, http://www.:cancer. org,1993.
2. Antonio Vega Corona and Diego Andina Cad system for identification of microcalcifieations in digitized mammography applying grnn neural network, page 8, 2004.
3. A.B. Robert N.Thanakorn and J.E. Mark. Dna classification with self-organizing maps soms. IEEE International Workshop on Soft Computing in Industrial Applications:, pages 23-25, 2003.
4. Y. Songyang and G. Ling. A cad system, for automatic detection of clustered microcalcications in digitized marnmogram lms. IEEE Transactions on Medical Imaging 2, 2(115126), 2000.
5. Clinica Puerta de Hierrro de Madrid España. Mammography imaging data base. http://ordg.gc.ssr.upm.es,2001.
6. S. Mallat and S. Zhong. Characterization of signals from multiscale edge. IEEE Trans. on Pattern Analysis and Machine Intelligence, 14(7) :710-732, 1992,
7. R.O. Duda: and RE. Hart. Pattern Classification and Scene Analysis. 2nd edition, 1973.
8. K. Pukuriaga, Introduction to Statistical Pattern Recognition, Academic Press, 2nd edition, 1990. Capítulo 10.
9. P.A. Devujver and J. Kittler. Pattern Recongnition a Statistical Approach. Prentice Hall International Inc., London, 2nd edition, 1982.
10. D.F. Specht. A general regression neural network. IEEE Transactions on Neural Networks, 2(6):568-576, 1991.