11942656

Source:http://linkedlifedata.com/resource/pubmed/id/11942656

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0003737, umls-concept:C0036576, umls-concept:C0520594, umls-concept:C0521174, umls-concept:C0598941, umls-concept:C1511790, umls-concept:C2698651
pubmed:issue	4
pubmed:dateCreated	2002-4-10
pubmed:abstractText	The authors evaluated the effect of optimal neural network architecture selection on the performance of a computer-aided diagnostic system designed to detect microcalcification clusters on digitized mammograms.
pubmed:grant	http://linkedlifedata.com/resource/pubmed/grant/CA 48129
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/9440159
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Apr
pubmed:issn	1076-6332
pubmed:author	pubmed-author:ChanHeang-PingHP, pubmed-author:GurcanMetin NMN, pubmed-author:HadjiiskiLubomirL, pubmed-author:HelvieMark AMA, pubmed-author:PetrickNicholasN, pubmed-author:SahinerBerkmanB
pubmed:issnType	Print
pubmed:volume	9
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	420-9
pubmed:dateRevised	2007-11-14
pubmed:meshHeading	pubmed-meshheading:11942656-Breast Neoplasms, pubmed-meshheading:11942656-Calcinosis, pubmed-meshheading:11942656-Diagnosis, Computer-Assisted, pubmed-meshheading:11942656-Female, pubmed-meshheading:11942656-Humans, pubmed-meshheading:11942656-Mammography, pubmed-meshheading:11942656-Neural Networks (Computer), pubmed-meshheading:11942656-Radiographic Image Enhancement, pubmed-meshheading:11942656-Sensitivity and Specificity
pubmed:year	2002
pubmed:articleTitle	Optimal neural network architecture selection: improvement in computerized detection of microcalcifications.
pubmed:affiliation	Department of Radiology, University of Michigan Hospitals, Ann Arbor 48109-0030, USA.
pubmed:publicationType	Journal Article, Research Support, U.S. Gov't, P.H.S., Research Support, U.S. Gov't, Non-P.H.S.