Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
2000-11-2
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.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
AIM
pubmed:status
MEDLINE
pubmed:month
Nov
pubmed:issn
0361-803X
pubmed:author
pubmed:issnType
Print
pubmed:volume
175
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1329-34
pubmed:dateRevised
2008-2-15
pubmed:meshHeading
pubmed-meshheading:11044035-Absorptiometry, Photon, pubmed-meshheading:11044035-Adolescent, pubmed-meshheading:11044035-Adult, pubmed-meshheading:11044035-Aged, pubmed-meshheading:11044035-Aged, 80 and over, pubmed-meshheading:11044035-Female, pubmed-meshheading:11044035-Follow-Up Studies, pubmed-meshheading:11044035-Humans, pubmed-meshheading:11044035-Image Processing, Computer-Assisted, pubmed-meshheading:11044035-Lung, pubmed-meshheading:11044035-Male, pubmed-meshheading:11044035-Middle Aged, pubmed-meshheading:11044035-Neural Networks (Computer), pubmed-meshheading:11044035-Pneumonia, pubmed-meshheading:11044035-Predictive Value of Tests, pubmed-meshheading:11044035-Prospective Studies, pubmed-meshheading:11044035-Pulmonary Fibrosis, pubmed-meshheading:11044035-Radiographic Image Interpretation, Computer-Assisted, pubmed-meshheading:11044035-Sensitivity and Specificity, pubmed-meshheading:11044035-Tomography, X-Ray Computed
pubmed:year
2000
pubmed:articleTitle
Automatic detection and quantification of ground-glass opacities on high-resolution CT using multiple neural networks: comparison with a density mask.
pubmed:affiliation
Department of Radiology, Johannes Gutenberg-University Mainz, Langenbeckstr. 1, 55131 Mainz, Germany.
pubmed:publicationType
Journal Article, Comparative Study, Research Support, Non-U.S. Gov't