Computer-aided detection of depression from magnetic resonance images

Kipli, Kuryati, Kouzani, Abbas Z. and Joordens, Matthew 2012, Computer-aided detection of depression from magnetic resonance images, in CME 2012 : Proceedings of the 2012 IEEE/ICME International Conference on Complex Medical Engineering, IEEE Computer Society, Los Alamitos, Calif., pp. 500-505.

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Title Computer-aided detection of depression from magnetic resonance images
Author(s) Kipli, Kuryati
Kouzani, Abbas Z.
Joordens, Matthew
Conference name Complex Medical Engineering. Conference (6th : 2012 : Kobe, Japan)
Conference location Kobe, Japan
Conference dates 1-4 Jul. 2012
Title of proceedings CME 2012 : Proceedings of the 2012 IEEE/ICME International Conference on Complex Medical Engineering
Editor(s) [Unknown]
Publication date 2012
Conference series Complex Medical Engineering. Conference
Start page 500
End page 505
Total pages 6
Publisher IEEE Computer Society
Place of publication Los Alamitos, Calif.
Keyword(s) depression
computer aided detection
magnetic resonance images
Summary Magnetic resonance imaging (MRI) of the brain is used to detect depression disorder. However, a large number of MRI scans needs to be analyzed for such detection. Manual segmentation of the biomarkers in MRI scans by clinical experts can become time consuming and sometimes erroneous. This paper presents a study on computer-aided detection of depression from MRI scans. These systems have not yet been identified, categorized and compared in the literature. The paper covers fully automated to semi-automated detection systems. It also presents performance comparison for the considered systems.
ISBN 9781467316170
Language eng
Field of Research 090399 Biomedical Engineering not elsewhere classified
Socio Economic Objective 920203 Diagnostic Methods
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2012, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30049225

Document type: Conference Paper
Collection: School of Engineering
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