20512882

Source:http://linkedlifedata.com/resource/pubmed/id/20512882

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0001792, umls-concept:C0205554, umls-concept:C0309093, umls-concept:C0441635, umls-concept:C0682708, umls-concept:C1704922, umls-concept:C2826145
pubmed:issue	6
pubmed:dateCreated	2010-5-31
pubmed:abstractText	To determine the precision and accuracy of an automated method for segmenting white matter hyperintensities (WMH) on fast fluid-attenuated inversion-recovery (FLAIR) images in elderly brains at 3T.
pubmed:grant	http://linkedlifedata.com/resource/pubmed/grant/
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pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/9105850
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Jun
pubmed:issn	1522-2586
pubmed:author	pubmed-author:BlackSandra ESE, pubmed-author:GaoFuqiangF, pubmed-author:GibsonErinE, pubmed-author:LobaughNancy JNJ
pubmed:issnType	Electronic
pubmed:volume	31
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	1311-22
pubmed:dateRevised	2010-9-30
pubmed:meshHeading	pubmed-meshheading:20512882-Aged, pubmed-meshheading:20512882-Aged, 80 and over, pubmed-meshheading:20512882-Aging, pubmed-meshheading:20512882-Algorithms, pubmed-meshheading:20512882-Automation, pubmed-meshheading:20512882-Brain, pubmed-meshheading:20512882-Cluster Analysis, pubmed-meshheading:20512882-False Positive Reactions, pubmed-meshheading:20512882-Female, pubmed-meshheading:20512882-Fuzzy Logic, pubmed-meshheading:20512882-Humans, pubmed-meshheading:20512882-Image Processing, Computer-Assisted, pubmed-meshheading:20512882-Magnetic Resonance Imaging, pubmed-meshheading:20512882-Middle Aged, pubmed-meshheading:20512882-Reproducibility of Results
pubmed:year	2010
pubmed:articleTitle	Automatic segmentation of white matter hyperintensities in the elderly using FLAIR images at 3T.
pubmed:affiliation	Cognitive Neurology, Sunnybrook Health Sciences Centre, Toronto, Ontario M4N 3M5, Canada.
pubmed:publicationType	Journal Article, Research Support, Non-U.S. Gov't