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, doi: 10.1109/ICCME.2012.6275745.
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Title
Computer-aided detection of depression from magnetic resonance images
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
DOI
10.1109/ICCME.2012.6275745
Field of Research
090399 Biomedical Engineering not elsewhere classified
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