Cluster-based classification using self-organising maps for medical image databases. (27th August 2009)

• Record Type: Journal Article
• Authors: Silva, L.A.; Del-Moral-Hernandez, E.; Moreno, R.A.; Furuie, S.S.
• Is Part Of: International journal of innovative computing and applications. Volume 2:Number 1(2009)
• Page Start: 13
• Page End: 22
• Publication Date: 2009-08-27
• Subjects: artificial neural networks -- ANNs -- self-organising maps -- SOM -- data mining -- medical images -- wavelet transforms -- categorisation -- computer-aided diagnostic decisions -- decision making; Evolutionary computation -- Periodicals; Neural networks (Computer science) -- Periodicals; Genetic programming (Computer science) -- Periodicals; Biologically-inspired computing -- Periodicals; Swarm intelligence -- Periodicals; Quantum computers -- Periodicals; 006.3
• Languages: English
• ISSNs: 1751-648X

Abstract

Images are a fundamental source of information in medicine. They can support doctors and students in diagnostic decisions besides providing research and didactic material. The images stored in a database and divided in categories are an important step for data mining and content-based image retrieval (CBIR). This work addresses a methodology which joins the use of discrete wavelet transforms to characterise images and self-organising maps (SOM) neural networks to cluster based classification of medical images. This data mining methodology can be used in categorisation and in computer-aided diagnostic decision.