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Simultaneous segmentation and grading of anatomical structures for patient's classification: application to Alzheimer's Disease

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Simultaneous segmentation and grading of anatomical structures for patient's classification: application to Alzheimer's Disease

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Coupé, P.; Eskildsen, SF.; Manjón Herrera, JV.; Fonov, VS.; Collins, DL.; Alzheimer's Dis Neuroimaging (2012). Simultaneous segmentation and grading of anatomical structures for patient's classification: application to Alzheimer's Disease. NeuroImage. 59(4):3736-3747. doi:10.1016/j.neuroimage.2011.10.080

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/37262

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Title: Simultaneous segmentation and grading of anatomical structures for patient's classification: application to Alzheimer's Disease
Author: Coupé, Pierrick Eskildsen, Simon F. Manjón Herrera, José Vicente Fonov, Vladimir S. Collins, D. Louis Alzheimer's Dis Neuroimaging
UPV Unit: Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada
Universitat Politècnica de València. Instituto Universitario de Aplicaciones de las Tecnologías de la Información - Institut Universitari d'Aplicacions de les Tecnologies de la Informació
Issued date:
Abstract:
In this paper, we propose an innovative approach to robustly and accurately detect Alzheimer's disease (AD) based on the distinction of specific atrophic patterns of anatomical structures such as hippocampus (HC) and ...[+]
Subjects: Hippocampus , Hippocampus volume , Hippocampus grading , Patient's classification , Nonlocal means estimator , Alzheimer's disease , Entorhinal cortex
Copyrigths: Reserva de todos los derechos
Source:
NeuroImage. (issn: 1053-8119 ) (eissn: 1095-9572 )
DOI: 10.1016/j.neuroimage.2011.10.080
Publisher:
Elsevier
Publisher version: http://www.sciencedirect.com/science/article/pii/S1053811911012444
Description: Data used in the preparation of this article were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database (www.loni.ucla.edu/ADNI).
Thanks:
Data collection and sharing for this project were funded by the Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health Grant U01 AG024904). ADNI is funded by the National Insti- tute on Aging, ...[+]
Type: Artículo

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