14699600

Source:http://linkedlifedata.com/resource/pubmed/id/14699600

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0185125, umls-concept:C0205554, umls-concept:C0439851, umls-concept:C0598941, umls-concept:C0678836, umls-concept:C1552596, umls-concept:C1947931
pubmed:issue	1
pubmed:dateCreated	2003-12-30
pubmed:abstractText	Automated cell recognition from histologic images is a very complex task. Traditionally, the image is segmented by some methods chosen to suit the image type, the objects are measured, and then a classifier is used to determine cell type from the object's measurements. Different classifiers have been used with reasonable success, including neural networks working with data from morphometric analysis.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/101235694
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Jan
pubmed:issn	1552-4922
pubmed:author	pubmed-author:JonesAllan SAS, pubmed-author:MilthorpeBruce KBK, pubmed-author:ZhengQingQ
pubmed:copyrightInfo	Copyright 2003 Wiley-Liss, Inc.
pubmed:issnType	Print
pubmed:volume	57
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	1-9
pubmed:dateRevised	2007-7-24
pubmed:meshHeading	pubmed-meshheading:14699600-Animals, pubmed-meshheading:14699600-Automatic Data Processing, pubmed-meshheading:14699600-Cells, pubmed-meshheading:14699600-Image Cytometry, pubmed-meshheading:14699600-Macropodidae, pubmed-meshheading:14699600-Neural Networks (Computer), pubmed-meshheading:14699600-Rabbits
pubmed:year	2004
pubmed:articleTitle	Direct neural network application for automated cell recognition.
pubmed:affiliation	Graduate School of Biomedical Engineering, University of New South Wales, Sydney, Australia.
pubmed:publicationType	Journal Article