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Automated detection of depression from brain structural magnetic resonance imaging (sMRI) scans

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thesis
posted on 2014-11-01, 00:00 authored by K Kipli
Automated sMRI-based depression detection system is developed whose components include acquisition and preprocessing, feature extraction, feature selection, and classification. The core focus of the research is on the establishment of a new feature selection algorithm that quantifies the most relevant brain volumetric feature for depression detection at an individual level.

History

Pagination

xvii, 143 pages : illustrations, tables, graphs

Open access

  • Yes

Material type

thesis

Resource type

thesis

Language

eng

Degree type

Research doctorate

Degree name

PhD (Engineering)

Copyright notice

The author

Editor/Contributor(s)

Y Xiang, A Kouzani, M Joordens

Faculty

Faculty of Science

School

Engineering and Built Environment