Classification of Alzheimer’s disease subjects from MRI using hippocampal visual features

Indexing and classification tools for Content Based Visual Information Retrieval (CBVIR) have been penetrating the universe of medical image analysis. They have been recently investigated for Alzheimer’s disease (AD) diagnosis. This is a normal “knowledge diffusion” process, when methodologies devel...

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Bibliographic Details
Published in:	Multimedia tools and applications Vol. 74; no. 4; pp. 1249 - 1266
Main Authors:	Ben Ahmed, Olfa, Benois-Pineau, Jenny, Allard, Michèle, Ben Amar, Chokri, Catheline, Gwénaëlle
Format:	Journal Article
Language:	English
Published:	Boston Springer US 01.02.2015 Springer Nature B.V Springer Verlag
Subjects:	Alzheimer's disease Analysis Automation Biomarkers Brain research Categories Classification Cognitive ability Computer Communication Networks Computer Science Data Structures and Information Theory Diagnosis Disease Image Processing Image processing systems Image retrieval Indexing Magnetic resonance imaging Medical imaging Morphology Multimedia Multimedia communications Multimedia Information Systems Neuroimaging Special Purpose and Application-Based Systems Studies Support vector machines Visual Circular Harmonic Functions descriptors Late fusion Visual features CSF Bag-of-Visual-Words SVM Content based visual indexing Hippocampus Content Based Visual Indexing Late Fusion
ISSN:	1380-7501, 1573-7721
Online Access:	Get full text
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