Alzheimer's Disease Classification Based on Multi-feature Fusion.

Journal: Current medical imaging reviews

PMID: 31975662

Abstract

BACKGROUND: In this study, we investigated the fusion of texture and morphometric features as a possible diagnostic biomarker for Alzheimer's Disease (AD).

Authors

Nuwan Madusanka

Department of Computer Engineering, u-AHRC, Inje University, Gimhae, Gyeongsangnam, Korea.
Heung-Kook Choi

Department of Computer Engineering, u-AHRC, Inje University, Gimhae, Gyeongsangnam, Korea.
Jae-Hong So

Department of Digital Anti-Aging Healthcare, u-AHRC, Inje University, Gimhae, Gyeongsangnam, Korea.
Boo-Kyeong Choi

Department of Digital Anti-Aging Healthcare, u-AHRC, Inje University, Gimhae, Gyeongsangnam, Korea.

Keywords

Aged Algorithms Alzheimer Disease Atrophy Brain Case-Control Studies Cognitive Dysfunction Confidence Intervals Diagnosis, Differential Hippocampus Humans Middle Aged Normal Distribution Sensitivity and Specificity Support Vector Machine

External Resources

View on PubMed Access via DOI PubMed (31975662)

Alzheimer's Disease Classification Based on Multi-feature Fusion.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals