Title :
Type 2 fuzzy sets and neuro-fuzzy clustering of radiographic tibia images
Author :
John, R.I. ; Innocent, P.R. ; Barnes, M.R.
Author_Institution :
De Montfort Univ., Leicester, UK
Abstract :
This paper is concerned with pre-processing of data for submission to neural networks. In particular the use of type 2 fuzzy sets to assist in this process is discussed and the results of using type 2 sets with FuzzyART is presented for clustering of radiographic tibia images. These results indicate that the approach out performs a type 1 approach, for certain tibia problems, and that the type 2 solution assisted the expert in analysing a set of images that he was unable to classify originally
Keywords :
ART neural nets; diagnostic radiography; fuzzy neural nets; fuzzy set theory; image processing; medical image processing; FuzzyART neural networks; broken leg; data preprocessing; fractured tibia; image classification; neuro-fuzzy clustering; radiographic tibia images; type 2 fuzzy sets; Biomedical imaging; Bones; Fuzzy neural networks; Fuzzy sets; Image analysis; Image databases; Injuries; Neural networks; Radiography; Stress;
Conference_Titel :
Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4863-X
DOI :
10.1109/FUZZY.1998.686319
