Rough set approach for classification of breast cancer mammogram images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2955 LNAI, Issue , 2005, Pages 224-231

  Hassanien, Aboul Ella ^a   Ali, Jafar M ^a  

^a KUWAIT UNIVERSITY   (Kuwait)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FEATURE EXTRACTION; IMAGE ANALYSIS; ROUGH SET THEORY; TUMORS;

BREAST CANCER; CLASSIFICATION; MAMMOGRAM IMAGES;

MAMMOGRAPHY;

EID: 33744805830     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (11)

1. Aboul Ella H., Jafar M. H. Ali.: An Efficient Classification and Image Retrieval Algorithm based on Rough Set Theory. In: 5th International Conference On Enterprise Information Systems Ecolo Supérieure d' Electronique de l' Ouest - Angers - France - 23-26 April, (2003) 141-147
2. Ahuja N., Rosefeld A. :A Note on the Use of Second-order Gray-level Statistics for Threshold Selection. In: IEEE Trans. Systems, Man, and Cybernatics, SMC-8912, (1978) 895-898
3. Grzymala-Busse J., Pawlak Z., Slowinski R., Ziarko W.:Rough Sets. In: Communications of the ACM, vol.38, no. 11, 1999.
4. Haralick R.M. Statistical and Structural Approaches to Texture. In: Proceeding of the IEEE, vol.67, no.5, May 1979.
5. http://www.wiau.man.ac.uk/services/MIAS/MIASmini.htm.:The Mammographic Image Analysis Society: Mini Mammography Database. 2003
6. Kok S.L. : Computer Interpretation of X-ray Mammography. Department of Engineering Science, University of Oxford, web site http://www.eng.ox.ac.uk, 2003
7. Lavrac N. : Machine Learning for Data Mining in Medicine. In AIMDM'99, (1999) 47-64
8. Nico K., Martin T., Jan H., Leon V. E.:Digital Mammography: Computational Imaging and Vision. In: Kluwer academic publication, (1998)
9. Pawlak Z.:Rough sets. In: Int. J. Computer and Information Science, vol. 11, (1982) 341-356
10. Kryszkiewicz M., Rybinski H.: Finding reducts in composed information systems. In: W. Ziarko (ed.), Rough Sets, Fuzzy Sets and Knowledge Discovery. Proceedings of the International Workshop on Rough Sets and Knowledge Discovery (RSKD'93), Banff, Alberta, Canada, October 12-15, Springer-Verlag, Berlin, (1993) 261-273
11. Jelonek J., et. al.:Neural networks and rough sets - comparison and combination for classification of histological pictures. In: Proceedings of the International Workshop on Rough Sets and Knowledge Discovery (RSKD'93), Banff, Alberta, Canada, October 12-15, Springer-Verlag, Berlin,(1993) 426-433