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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. 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 Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 01 Nov 2012, 13:11:56 EST Thu, 08 Nov 2012, 09:43:05 EST Thu, 08 Nov 2012, 09:44:05 EST Fri, 07 Jun 2013, 13:16:40 EST Fri, 07 Jun 2013, 15:00:00 EST Fri, 07 Jun 2013, 15:00:55 EST Thu, 12 Sep 2013, 12:45:44 EST Filtered Full Access Statistics: 43 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Thu, 01 Nov 2012, 13:11:56 EST

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