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Towards automated detection of depression from brain structural magnetic resonance images

Kipli K, Kouzani AZ, Williams LJ. Towards automated detection of depression from brain structural magnetic resonance images. Neuroradiology. May 2013;55(5):567-584.

Publication Date
May 2013

How Analyze was Used
“Semiautomated tools, i.e., BRAINS and Analyze, are popular for specific brain regions segmentation and traditional volume measurement [Kipli et al. 2012].”

Keywords
Algorithms
Artificial Intelligence
Brain/pathology
Depression/diagnosis
Humans
Image Enhancement/methods
Image Interpretation, Computer-Assisted/methods
Magnetic Resonance Imaging (MRI)/methods
Pattern Recognition, Automated/methods
Reproducibility of Results
Sensitivity and Specificity

Author Affiliation(s)
School of Engineering, Deakin University, Waurn Ponds, Victoria, 3216, Australia. (KK, AZK)

Department of Electronic, Faculty of Engineering, Universiti Malaysia Sarawak, 94300, Kota Samarahan, Sarawak, Malaysia. (KK)

School of Medicine, Deakin University, Waurn Ponds, Victoria, 3216, Australia. (LJW)

ID# 439

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