A new two-feature FAM-matrix classifier for breast cancer diagnosis
Tijana T. Ivancevic, Lorick Jain, Murk J. Bottema · 2003
In this paper, a fuzzy-logic FAM (fuzzy associative memory) matrix classifier is used for the classification (diagnosis) of breast cancer. It is implemented in Mathematica 3.0 and tested on two features (radius and perimeter) from the Wisconsin breast cancer database. The sensitivity of the FAM-matrix classifier is 94.29%, and its specificity is 73.33%.