Alzheimer’s disease diagnosis based on the Hippocampal Unified Multi-Atlas Network (HUMAN) algorithm

Background Hippocampal atrophy is a supportive feature for the diagnosis of probable Alzheimer’s disease (AD). However, even for an expert neuroradiologist, tracing the hippocampus and measuring its volume is a time consuming and extremely challenging task. Accordingly, the development of reliable f...

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Bibliographic Details
Published in:	Biomedical engineering online Vol. 17; no. 1; pp. 6 - 16
Main Authors:	Amoroso, Nicola, Rocca, Marianna La, Bellotti, Roberto, Fanizzi, Annarita, Monaco, Alfonso, Tangaro, Sabina
Format:	Journal Article
Language:	English
Published:	London BioMed Central 22.01.2018 BioMed Central Ltd BMC
Subjects:	Advances in neuroimaging: Insights into neurological and psychiatric disease Algorithms Alzheimer's disease Biomaterials Biomedical Engineering and Bioengineering Biomedical Engineering/Biotechnology Biotechnology Diagnosis Engineering Hippocampal Segmentation MCI Multi-atlas Neural Networks Patient outcomes Sclerosis Multi-atlas Neural Networks MCI Hippocampal Segmentation Alzheimer’s disease
ISSN:	1475-925X, 1475-925X
Online Access:	Get full text
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