http://rdf.ncbi.nlm.nih.gov/pubchem/reference/18724536

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contentType Proceedings Article
endingPage 140
issn 1522-4880
issueIdentifier 4378885
pageRange 137-140
publicationName Proceedings. International Conference on Image Processing
startingPage 137
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bibliographicCitation Yang L, Foran DJ. A VARIATIONAL FRAMEWORK FOR PARTIALLY OCCLUDED IMAGE SEGMENTATION USING COARSE TO FINE SHAPE ALIGNMENT AND SEMI-PARAMETRIC DENSITY APPROXIMATION. Proc Int Conf Image Proc. 2006;1(4378885):137–40. PMID: 19305512; PMCID: PMC2657958.
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http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_f749cfdca0d90dd1b6d4e4932dc98ecc
date 200709
identifier https://doi.org/10.1109/icip.2007.4378885
https://pubmed.ncbi.nlm.nih.gov/PMC2657958
https://pubmed.ncbi.nlm.nih.gov/19305512
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https://portal.issn.org/resource/ISSN/1522-4880
language English
source https://pubmed.ncbi.nlm.nih.gov/
https://www.crossref.org/
title A Variational Framework for Partially Occluded Image Segmentation using Coarse to Fine Shape Alignment and Semi-Parametric Density Approximation

Total number of triples: 26.