Linked Life Data

20937359

Source:http://linkedlifedata.com/resource/pubmed/id/20937359

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2010-11-24
pubmed:abstractText
This work is a feature-extraction and classification study between Alzheimer's disease (AD) patients and normal subjects. Voxel-wise morphological features of brain MRI are defined as the Jacobian determinants that measure the local volume change between each subject and a given atlas. The goal of this work is to determine the region of interest (ROI) which is best suited for classification. Two types of ROIs are considered: anatomical regions, that were automatically segmented in the atlas (amygdalae, hippocampi and lateral ventricles); and statistical regions, defined from group comparison statistical maps. Classification performance was assessed with five classifiers on 20 pairs of matched training and test groups of subjects from the ADNI database. In this study the statistical masks provided the best classification performance.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jan
pubmed:issn
1872-7972
pubmed:author
pubmed:copyrightInfo
Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.
pubmed:issnType
Electronic
pubmed:day
3
pubmed:volume
487
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
113-7
pubmed:meshHeading
pubmed:year
2011
pubmed:articleTitle
Discrimination of AD and normal subjects from MRI: anatomical versus statistical regions.
pubmed:affiliation
GTC, Aragon Institute of Engineering Research, Universidad de Zaragoza, Zaragoza, Spain. mdpelaez@unizar.es
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't, Research Support, N.I.H., Extramural