Towards automated detection of depression from brain structural magnetic resonance images
Introduction: Depression is a major issue worldwide and is seen as a significant health problem. Stigma and patient denial, clinical experience, time limitations, and reliability of psychometrics are barriers to the clinical diagnoses of depression. Thus, the establishment of an automated system tha...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer Verlag
2013
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/16348/1/Kuryati%20Kipli.pdf http://ir.unimas.my/id/eprint/16348/ https://link.springer.com/article/10.1007/s00234-013-1139-8 |
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