A comparison of machine learning approaches for the automated classification of dementia

Herbert Jelinek, David Cornforth, Patricia Waley, Eduardo Fernandez, Wayne Robinson

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Like many diseases, dementia is associated with a changed physical structure of diseased tissue. This study is a preliminary attempt to show that these changes are detectable using image processing, and could facilitate the automated classification of dementia subtypes. The identification of a link between different pathologies and the physical structure of tissue is potentially of great benefit to our understanding of this group of diseases. We have shown the existence of such a link by applying machine learning techniques to features derived using fractal analysis, as well as classical shape parameters.

Original languageBritish English
Title of host publicationAI 2002
Subtitle of host publicationAdvances in Artificial Intelligence - 15th Australian Joint Conference on Artificial Intelligence, Proceedings
EditorsBob McKay, John Slaney
PublisherSpringer Verlag
Pages721-722
Number of pages2
ISBN (Print)3540001972, 9783540001973
DOIs
StatePublished - 2002
Event15th Australian Joint Conference on Artificial Intelligence, AI 2002 - Canberra, Australia
Duration: 2 Dec 20026 Dec 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2557
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th Australian Joint Conference on Artificial Intelligence, AI 2002
Country/TerritoryAustralia
CityCanberra
Period2/12/026/12/02

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