http://rdf.ncbi.nlm.nih.gov/pubchem/reference/4446464

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contentType Proceedings Article
endingPage 1309
issn 1945-7928
pageRange 1306-1309
publicationName 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro
startingPage 1306
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bibliographicCitation Foran DJ, Yang L, Tuzel O, Chen W, Hu J, Kurc TM, Ferreira R, Saltz JH. A caGRID-ENABLED, LEARNING BASED IMAGE SEGMENTATION METHOD FOR HISTOPATHOLOGY SPECIMENS. Proc IEEE Int Symp Biomed Imaging. 2009 Jul 01;6():1306–9. PMID: 19936299; PMCID: PMC2779045.
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date 2009-07-01-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier https://doi.org/10.1109/isbi.2009.5193304
https://pubmed.ncbi.nlm.nih.gov/PMC2779045
https://pubmed.ncbi.nlm.nih.gov/19936299
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http://rdf.ncbi.nlm.nih.gov/pubchem/journal/35639
language English
source https://www.crossref.org/
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title A caGrid-enabled, learning based image segmentation method for histopathology specimens

Total number of triples: 34.