Linked Life Data

18051137

Source:http://linkedlifedata.com/resource/pubmed/id/18051137

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
Pt 1
pubmed:dateCreated
2007-12-4
pubmed:abstractText
A novel method called local shape controlled voting has been developed for spherical object detection in 3D voxel images. By introducing local shape properties into the voting procedure of normal overlap, the proposed method improves the capability of differentiating spherical objects from other structures, as the normal overlap technique only measures the 'density' of normal overlapping, while how the normals are distributed in 3D is not discovered. The proposed method was applied to computer aided detection of pulmonary nodules based on helical CT images. Experiments showed that this method attained a better performance compared to the original normal overlap technique.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:author
pubmed:volume
10
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
842-9
pubmed:dateRevised
2009-12-11
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
A new method for spherical object detection and its application to computer aided detection of pulmonary nodules in CT images.
pubmed:affiliation
University of Iowa, Iowa City, IA 52242, USA.
pubmed:publicationType
Journal Article