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Computer-aided detection of depression from magnetic resonance images
conference contribution
posted on 2012-01-01, 00:00 authored by K Kipli, Abbas KouzaniAbbas Kouzani, Matthew JoordensMatthew JoordensMagnetic 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.
History
Event
Complex Medical Engineering. Conference (6th : 2012 : Kobe, Japan)Pagination
500 - 505Publisher
IEEE Computer SocietyLocation
Kobe, JapanPlace of publication
Los Alamitos, Calif.Publisher DOI
Start date
2012-07-01End date
2012-07-04ISBN-13
9781467316170Language
engPublication classification
E1 Full written paper - refereedCopyright notice
2012, IEEETitle of proceedings
CME 2012 : Proceedings of the 2012 IEEE/ICME International Conference on Complex Medical EngineeringUsage metrics
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