Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2011-3-17
pubmed:abstractText
This article presents a new computerized scheme that aims to accurately and robustly separate left and right lungs on computed tomography (CT) examinations.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1532-3145
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
35
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
280-9
pubmed:dateRevised
2011-6-7
pubmed:meshHeading
pubmed-meshheading:21412104-Adult, pubmed-meshheading:21412104-Algorithms, pubmed-meshheading:21412104-Artificial Intelligence, pubmed-meshheading:21412104-Female, pubmed-meshheading:21412104-Humans, pubmed-meshheading:21412104-Imaging, Three-Dimensional, pubmed-meshheading:21412104-Lung, pubmed-meshheading:21412104-Male, pubmed-meshheading:21412104-Pattern Recognition, Automated, pubmed-meshheading:21412104-Pulmonary Disease, Chronic Obstructive, pubmed-meshheading:21412104-Radiographic Image Enhancement, pubmed-meshheading:21412104-Radiographic Image Interpretation, Computer-Assisted, pubmed-meshheading:21412104-Reproducibility of Results, pubmed-meshheading:21412104-Sensitivity and Specificity, pubmed-meshheading:21412104-Subtraction Technique, pubmed-meshheading:21412104-Tomography, X-Ray Computed
pubmed:articleTitle
Separation of left and right lungs using 3-dimensional information of sequential computed tomography images and a guided dynamic programming algorithm.
pubmed:affiliation
Department of Computer Science, Chonnam National University, Gwangju, Korea. park.sangc@gmail.com
pubmed:publicationType
Journal Article, Research Support, N.I.H., Extramural