Title :
A new two-feature FAM-matrix classifier for breast cancer diagnosis
Author :
Ivancevic, Tijana ; Jain, Lakhmi ; Bottema, Murk
Author_Institution :
Dept. of Appl. Math., Adelaide Univ., SA, Australia
Abstract :
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%
Keywords :
cancer; content-addressable storage; fuzzy logic; fuzzy neural nets; mammography; medical diagnostic computing; medical expert systems; pattern classification; sensitivity; symbol manipulation; Mathematica 3.0; Wisconsin breast cancer database; breast cancer classification; breast cancer diagnosis; fuzzy associative memory; fuzzy logic; perimeter; radius; sensitivity; specificity; two-feature FAM-matrix classifier; Australia; Breast cancer; Fuzzy logic; Fuzzy sets; Fuzzy systems; Gaussian processes; Intelligent sensors; Intelligent systems; Spatial databases; Testing;
Conference_Titel :
Knowledge-Based Intelligent Information Engineering Systems, 1999. Third International Conference
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-5578-4
DOI :
10.1109/KES.1999.820184
