Fuzzy logic in computer-aided breast cancer diagnosis: analysis of lobulation

Author:

Kovalerchuk Boris,Triantaphyllou Evangelos,Ruiz James F,Clayton Jane

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference10 articles.

1. K. Doi, M.L. Giger, R.M. Nishikawa, K.R. Hoffmann, H. Macmahon, R.A. Schmidt, and K.-G. Chua, Digital radiography: a useful clinical tool for computer-aided diagnosis by quantitative analysis of radiographic images, Acta Radiologica 34(5) (1993) 426–439.

2. B. Kovalerchuk, and G. Klir, Linguistic context spaces and modal logic for approximate reasoning and fuzzy-probability comparison. In: Proceedings of the Third International Symposium on Uncertainty Modeling and, NAFIPS'95 (IEEE Computer Society Press, College Park, Maryland, 1995) a23–a28.

3. B. Kovalerchuk, Linguistic context spaces: necessary frames for correct approximate reasoning, Int. J. Gen. Sys. 24(4) 1996 (in print).

4. B. Kovalerchuk and B. Dalabaev, T-norms as scales, in: The First European Congress of Fuzzy and Intelligent Technologies (Aachen, Germany, 1993) 1482–1487.

5. B. Kovalerchuk and V. Taliansky, Comparison of empirical and computed values of fuzzy conjunction, Fuzzy Sets Sys. 46(2) (1992) 49–53.

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