9419649

Source:http://linkedlifedata.com/resource/pubmed/id/9419649

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0006142, umls-concept:C0011905, umls-concept:C0449445, umls-concept:C0598941, umls-concept:C2004457, umls-concept:C2348519
pubmed:issue	10
pubmed:dateCreated	1998-2-6
pubmed:abstractText	An artificial neural network (ANN) approach was developed for the computer-aided diagnosis of mammography using an optimally minimized number of input features.
pubmed:grant	http://linkedlifedata.com/resource/pubmed/grant/P30-CA-14236
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/9440159
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Oct
pubmed:issn	1076-6332
pubmed:author	pubmed-author:BakerJ AJA, pubmed-author:FloydC ECEJr, pubmed-author:KornguthP JPJ, pubmed-author:RoJ SJS
pubmed:issnType	Print
pubmed:volume	2
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	841-50
pubmed:dateRevised	2007-11-14
pubmed:meshHeading	pubmed-meshheading:9419649-Breast Neoplasms, pubmed-meshheading:9419649-Diagnosis, Computer-Assisted, pubmed-meshheading:9419649-Female, pubmed-meshheading:9419649-Humans, pubmed-meshheading:9419649-Mammography, pubmed-meshheading:9419649-Neural Networks (Computer), pubmed-meshheading:9419649-Sensitivity and Specificity
pubmed:year	1995
pubmed:articleTitle	Computer-aided diagnosis of breast cancer: artificial neural network approach for optimized merging of mammographic features.
pubmed:affiliation	Department of Radiology, Duke University Medical Center, Durham, NC 27710, USA.
pubmed:publicationType	Journal Article, Comparative Study, Research Support, U.S. Gov't, P.H.S., Research Support, U.S. Gov't, Non-P.H.S.