| pubmed-article:20650667 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:20650667 | lifeskim:mentions | umls-concept:C0024103 | lld:lifeskim |
| pubmed-article:20650667 | lifeskim:mentions | umls-concept:C0220931 | lld:lifeskim |
| pubmed-article:20650667 | lifeskim:mentions | umls-concept:C1511790 | lld:lifeskim |
| pubmed-article:20650667 | lifeskim:mentions | umls-concept:C1280500 | lld:lifeskim |
| pubmed-article:20650667 | lifeskim:mentions | umls-concept:C0242356 | lld:lifeskim |
| pubmed-article:20650667 | pubmed:issue | 11 | lld:pubmed |
| pubmed-article:20650667 | pubmed:dateCreated | 2010-10-11 | lld:pubmed |
| pubmed-article:20650667 | pubmed:abstractText | Lesion conspicuity is typically highly correlated with visual difficulty for lesion detection, and computer-aided detection (CAD) has been widely used as a "second reader" in mammography. Hence, increasing CAD sensitivity in detecting subtle cancers without increasing false-positive rates is important. The aim of this study was to investigate the effect of training database case selection on CAD performance in detecting low-conspicuity breast masses. | lld:pubmed |
| pubmed-article:20650667 | pubmed:grant | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:20650667 | pubmed:grant | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:20650667 | pubmed:grant | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:20650667 | pubmed:grant | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:20650667 | pubmed:language | eng | lld:pubmed |
| pubmed-article:20650667 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:20650667 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:20650667 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:20650667 | pubmed:month | Nov | lld:pubmed |
| pubmed-article:20650667 | pubmed:issn | 1878-4046 | lld:pubmed |
| pubmed-article:20650667 | pubmed:author | pubmed-author:RuiL XLX | lld:pubmed |
| pubmed-article:20650667 | pubmed:author | pubmed-author:ZhengBinB | lld:pubmed |
| pubmed-article:20650667 | pubmed:author | pubmed-author:GurDavidD | lld:pubmed |
| pubmed-article:20650667 | pubmed:author | pubmed-author:WangXingweiX | lld:pubmed |
| pubmed-article:20650667 | pubmed:author | pubmed-author:LedermanDrorD | lld:pubmed |
| pubmed-article:20650667 | pubmed:copyrightInfo | Copyright © 2010 AUR. Published by Elsevier Inc. All rights reserved. | lld:pubmed |
| pubmed-article:20650667 | pubmed:issnType | Electronic | lld:pubmed |
| pubmed-article:20650667 | pubmed:volume | 17 | lld:pubmed |
| pubmed-article:20650667 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:20650667 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:20650667 | pubmed:pagination | 1401-8 | lld:pubmed |
| pubmed-article:20650667 | pubmed:dateRevised | 2011-11-1 | lld:pubmed |
| pubmed-article:20650667 | pubmed:meshHeading | pubmed-meshheading:20650667... | lld:pubmed |
| pubmed-article:20650667 | pubmed:meshHeading | pubmed-meshheading:20650667... | lld:pubmed |
| pubmed-article:20650667 | pubmed:meshHeading | pubmed-meshheading:20650667... | lld:pubmed |
| pubmed-article:20650667 | pubmed:meshHeading | pubmed-meshheading:20650667... | lld:pubmed |
| pubmed-article:20650667 | pubmed:meshHeading | pubmed-meshheading:20650667... | lld:pubmed |
| pubmed-article:20650667 | pubmed:meshHeading | pubmed-meshheading:20650667... | lld:pubmed |
| pubmed-article:20650667 | pubmed:meshHeading | pubmed-meshheading:20650667... | lld:pubmed |
| pubmed-article:20650667 | pubmed:meshHeading | pubmed-meshheading:20650667... | lld:pubmed |
| pubmed-article:20650667 | pubmed:meshHeading | pubmed-meshheading:20650667... | lld:pubmed |
| pubmed-article:20650667 | pubmed:meshHeading | pubmed-meshheading:20650667... | lld:pubmed |
| pubmed-article:20650667 | pubmed:meshHeading | pubmed-meshheading:20650667... | lld:pubmed |
| pubmed-article:20650667 | pubmed:meshHeading | pubmed-meshheading:20650667... | lld:pubmed |
| pubmed-article:20650667 | pubmed:meshHeading | pubmed-meshheading:20650667... | lld:pubmed |
| pubmed-article:20650667 | pubmed:year | 2010 | lld:pubmed |
| pubmed-article:20650667 | pubmed:articleTitle | Computer-aided detection; the effect of training databases on detection of subtle breast masses. | lld:pubmed |
| pubmed-article:20650667 | pubmed:affiliation | Department of Radiology, University of Pittsburgh, 3362 Fifth Avenue, Room 128, Pittsburgh, PA 15213, USA. zhengb@upmc.edu | lld:pubmed |
| pubmed-article:20650667 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:20650667 | pubmed:publicationType | Research Support, N.I.H., Extramural | lld:pubmed |
