Title :
Type 2 fuzzy representations of lung scans to predict pulmonary emboli
Author :
Innocent, P.R. ; John, R.I. ; Belton, I. ; Finlay, D.
Author_Institution :
Dept. of Comput. Sci., De Montfort Univ., Leicester, UK
Abstract :
In this paper we describe the exploratory use of Type 2 fuzzy sets to represent the perceptions of lung scan images by experts in order to predict pulmonary emboli using Type 2 fuzzy relations. We used a GA to find suitable parameters for the fuzzy sets so that good classification was achieved. We present preliminary results with a limited data set demonstrating the potential power of the approach
Keywords :
fuzzy set theory; genetic algorithms; image classification; image representation; inference mechanisms; lung; medical expert systems; medical image processing; GA; classification problems; fuzzy sets; image processing; lung scan images; membership values; pulmonary emboli; rule based inference; type 2 fuzzy sets; Biomedical imaging; Blood; Diseases; Fuzzy sets; Guidelines; Lungs; Medical diagnostic imaging; Medical treatment; Radioactive materials; Ventilation;
Conference_Titel :
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-7078-3
DOI :
10.1109/NAFIPS.2001.944357
