Linked Life Data

15915504

Source:http://linkedlifedata.com/resource/pubmed/id/15915504

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2005-6-20
pubmed:abstractText
Morphologic examination of bone marrow and peripheral blood samples continues to be the cornerstone in diagnostic hematology. In recent years, interest in automatic leukocyte classification using image analysis has increased rapidly. Such systems collect a series of images in which each cell must be segmented accurately to be classified correctly. Although segmentation algorithms have been developed for sparse cells in peripheral blood, the problem of segmenting the complex cell clusters characterizing bone marrow images is harder and has not been addressed previously.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jul
pubmed:issn
1552-4922
pubmed:author
pubmed:copyrightInfo
(c) 2005 Wiley-Liss, Inc.
pubmed:issnType
Print
pubmed:volume
66
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
24-31
pubmed:dateRevised
2007-7-24
pubmed:meshHeading
pubmed:year
2005
pubmed:articleTitle
Segmentation of complex cell clusters in microscopic images: application to bone marrow samples.
pubmed:affiliation
Institute of Laboratory Medicine, Department of Clinical Genetics, Lund University Hospital, Lund, Sweden.
pubmed:publicationType
Journal Article