16445723

Source:http://linkedlifedata.com/resource/pubmed/id/16445723

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0034384, umls-concept:C0225897, umls-concept:C0597198, umls-concept:C1655045, umls-concept:C1704922
pubmed:issue	2
pubmed:dateCreated	2006-1-31
pubmed:abstractText	We sought to quantify the left ventricle systolic dysfunction by a geometric index from two-dimensional (2D) echocardiography by implementing an automated fuzzy logic edge detection algorithm for the segmentation.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/8511187
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Feb
pubmed:issn	0742-2822
pubmed:author	pubmed-author:KumarR AjayRA, pubmed-author:ManivannanJJ, pubmed-author:ReddyM RamasubbaMR, pubmed-author:ThanikachalamSS
pubmed:issnType	Print
pubmed:volume	23
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	87-92
pubmed:meshHeading	pubmed-meshheading:16445723-Adult, pubmed-meshheading:16445723-Aged, pubmed-meshheading:16445723-Algorithms, pubmed-meshheading:16445723-Echocardiography, pubmed-meshheading:16445723-Female, pubmed-meshheading:16445723-Fuzzy Logic, pubmed-meshheading:16445723-Humans, pubmed-meshheading:16445723-Image Enhancement, pubmed-meshheading:16445723-Image Interpretation, Computer-Assisted, pubmed-meshheading:16445723-Male, pubmed-meshheading:16445723-Middle Aged, pubmed-meshheading:16445723-Pattern Recognition, Automated, pubmed-meshheading:16445723-Systole, pubmed-meshheading:16445723-Ventricular Dysfunction, Left
pubmed:year	2006
pubmed:articleTitle	Quantitative evaluation of left ventricle performance from two dimensional echo images.
pubmed:affiliation	Biomedical Engineering Division, IIT MADRAS, Chennai, India.
pubmed:publicationType	Journal Article