11044035

Source:http://linkedlifedata.com/resource/pubmed/id/11044035

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Subject	Predicate	Object	Context
pubmed-article:11044035	rdf:type	pubmed:Citation	lld:pubmed
pubmed-article:11044035	lifeskim:mentions	umls-concept:C0242406	lld:lifeskim
pubmed-article:11044035	lifeskim:mentions	umls-concept:C1511790	lld:lifeskim
pubmed-article:11044035	lifeskim:mentions	umls-concept:C0029053	lld:lifeskim
pubmed-article:11044035	lifeskim:mentions	umls-concept:C0205554	lld:lifeskim
pubmed-article:11044035	lifeskim:mentions	umls-concept:C0439064	lld:lifeskim
pubmed-article:11044035	lifeskim:mentions	umls-concept:C1707455	lld:lifeskim
pubmed-article:11044035	lifeskim:mentions	umls-concept:C0178587	lld:lifeskim
pubmed-article:11044035	lifeskim:mentions	umls-concept:C0024861	lld:lifeskim
pubmed-article:11044035	pubmed:issue	5	lld:pubmed
pubmed-article:11044035	pubmed:dateCreated	2000-11-2	lld:pubmed
pubmed-article:11044035	pubmed:abstractText	We compared multiple neural networks with a density mask for the automatic detection and quantification of ground-glass opacities on high-resolution CT under clinical conditions.	lld:pubmed
pubmed-article:11044035	pubmed:language	eng	lld:pubmed
pubmed-article:11044035	pubmed:journal	http://linkedlifedata.com/r...	lld:pubmed
pubmed-article:11044035	pubmed:citationSubset	AIM	lld:pubmed
pubmed-article:11044035	pubmed:status	MEDLINE	lld:pubmed
pubmed-article:11044035	pubmed:month	Nov	lld:pubmed
pubmed-article:11044035	pubmed:issn	0361-803X	lld:pubmed
pubmed-article:11044035	pubmed:author	pubmed-author:ThelenMM	lld:pubmed
pubmed-article:11044035	pubmed:author	pubmed-author:HeitmannKK	lld:pubmed
pubmed-article:11044035	pubmed:author	pubmed-author:KauczorH UHU	lld:pubmed
pubmed-article:11044035	pubmed:author	pubmed-author:HeusselC PCP	lld:pubmed
pubmed-article:11044035	pubmed:author	pubmed-author:UthmannTT	lld:pubmed
pubmed-article:11044035	pubmed:author	pubmed-author:MarwedeDD	lld:pubmed
pubmed-article:11044035	pubmed:issnType	Print	lld:pubmed
pubmed-article:11044035	pubmed:volume	175	lld:pubmed
pubmed-article:11044035	pubmed:owner	NLM	lld:pubmed
pubmed-article:11044035	pubmed:authorsComplete	Y	lld:pubmed
pubmed-article:11044035	pubmed:pagination	1329-34	lld:pubmed
pubmed-article:11044035	pubmed:dateRevised	2008-2-15	lld:pubmed
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pubmed-article:11044035	pubmed:year	2000	lld:pubmed
pubmed-article:11044035	pubmed:articleTitle	Automatic detection and quantification of ground-glass opacities on high-resolution CT using multiple neural networks: comparison with a density mask.	lld:pubmed
pubmed-article:11044035	pubmed:affiliation	Department of Radiology, Johannes Gutenberg-University Mainz, Langenbeckstr. 1, 55131 Mainz, Germany.	lld:pubmed
pubmed-article:11044035	pubmed:publicationType	Journal Article	lld:pubmed
pubmed-article:11044035	pubmed:publicationType	Comparative Study	lld:pubmed
pubmed-article:11044035	pubmed:publicationType	Research Support, Non-U.S. Gov't	lld:pubmed
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