A hybrid classifier for mass classification with different kinds of features in mammography

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 3614, Issue PART II, 2005, Pages 316-319

  Zhang, Ping ^a   Kumar, Kuldeep ^a   Verma, Brijesh ^b  

^a BOND UNIVERSITY   (Australia)

^b CENTRAL QUEENSLAND UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

GENETIC ALGORITHMS; HYBRID COMPUTERS; MAMMOGRAPHY; NEURAL NETWORKS; PATTERN RECOGNITION; STATISTICAL METHODS;

CLASSIFICATION RATE; HYBRID SYSTEM; MASS PATTERNS; STATISTICAL CLASSIFIERS;

CLASSIFICATION (OF INFORMATION);

EID: 26944500190     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11540007_38     Document Type: Conference Paper

References (6)

1. Chitre, Y., Dhawan, A.P. and Moskowitz, M., Artificial Neural Network Based Classification of Mammographic Microcalcifications Using Image Structure Features, International Journal of Pattern Recognition and Artificial Intelligence, 1993. 7(6): p. 1377-1401.
2. Wood, K.S., Comparative evaluation of pattern recognition techniques for detection of microcalcifications in mammography, International Journal of Pattern Recognition and Artificial Intelligence, 1993. p. 80-85.
3. Sarle, W.S., Neural Networks and Statistical Models, Proceedings of the 19th Annual SAS Users Group International Conference, Cary, NC: SAS Institute, 1994. April: p. 1538-1550.
4. Ripley, B.D., Pattern Recognition & Neural Networks, 1996: Cambridge Press.
5. Zhang, P., Verma, B.K and Kumar, K., Neural vs Statistical Classifier in Conjunction with Genetic Algorithm Feature Selection in Digital Mammography, Proceedings of IEEE Congress on Evolutionary Computation, 2003, p. 1206-1213.
6. Heath, M., Bowyer, K.W. and Kopans, D., Current status of the Digital Database for Screening Mammography. Digital Mammography, 1998: p. 457-460.