Fuzzy rough sets hybrid scheme for breast cancer detection

Author:

Hassanien AboulElla

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing

Reference30 articles.

1. Rough set approach for attribute reduction and rule generation: a case of patients with suspected breast cancer;Aboul Ella Hassanien;Journal of the American Society for Information Science and Technology (JASIST),2004

2. Aboul Ella Hasanien, Jafar M. Ali, N. Hajime, Detection of spiculated masses in mammograms based on fuzzy image processing. Seventh International Conference on Artificial Intelligence and Soft Computing, ICAISC2004, Zakopane, Poland, June 7–11, Lecture Notes in Artificial Intelligence, vol. 3070, Springer series, 2004, pp. 1002–1007.

3. A comparative study on digital mamography enhancement algorithms based on fuzzy theory;Aboul ella Hassanien;International Journal of Studies in Informatics and Control, SIC,2003

4. Classification and feature selection of breast cancer data based on decsion tree algorithm;Aboul Ella Hasanien;International Journal of Studies in Informatics and Control Journal,2003

5. J. Bazan, A. Skowron, P. Synak, Dynamic reducts as a tool for extracting laws from decision tables. In Proceeding of the Symposium on Methodologies for Intelligent Systems, Charlotte, NC. October 16–19 Lecture Notes in Artificial Intelligence, N. 869, Springer, Berlin, 1994, pp. 346–355.

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