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rdf:type |
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lifeskim:mentions |
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pubmed:issue |
11
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pubmed:dateCreated |
2010-10-11
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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.
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pubmed:grant |
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
Nov
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pubmed:issn |
1878-4046
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pubmed:author |
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pubmed:copyrightInfo |
Copyright © 2010 AUR. Published by Elsevier Inc. All rights reserved.
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pubmed:issnType |
Electronic
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pubmed:volume |
17
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
1401-8
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pubmed:dateRevised |
2011-11-1
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pubmed:meshHeading |
pubmed-meshheading:20650667-Algorithms,
pubmed-meshheading:20650667-Breast Neoplasms,
pubmed-meshheading:20650667-Databases, Factual,
pubmed-meshheading:20650667-Female,
pubmed-meshheading:20650667-Humans,
pubmed-meshheading:20650667-Information Storage and Retrieval,
pubmed-meshheading:20650667-Mammography,
pubmed-meshheading:20650667-Pattern Recognition, Automated,
pubmed-meshheading:20650667-Radiographic Image Enhancement,
pubmed-meshheading:20650667-Radiographic Image Interpretation, Computer-Assisted,
pubmed-meshheading:20650667-Radiology Information Systems,
pubmed-meshheading:20650667-Reproducibility of Results,
pubmed-meshheading:20650667-Sensitivity and Specificity
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pubmed:year |
2010
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pubmed:articleTitle |
Computer-aided detection; the effect of training databases on detection of subtle breast masses.
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pubmed:affiliation |
Department of Radiology, University of Pittsburgh, 3362 Fifth Avenue, Room 128, Pittsburgh, PA 15213, USA. zhengb@upmc.edu
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pubmed:publicationType |
Journal Article,
Research Support, N.I.H., Extramural
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