Automated vector selection of SIVQ and parallel computing integration MATLAB TM : Innovations supporting large-scale and high-throughput image analysis studies

Automated vector selection of SIVQ and parallel computing integration MATLAB TM : Innovations supporting large-scale and high-throughput image analysis studies

Introduction: Spatially invariant vector quantization (SIVQ) is a texture and color-based image matching algorithm that queries the image space through the use of ring vectors. In prior studies, the selection of one or more optimal vectors for a particular feature of interest required a manual proce...

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Bibliographic Details
Main Authors: Jerome Cheng, Jason Hipp, James Monaco, David R Lucas, Anant Madabhushi, Ulysses J Balis
Format: Article
Language:English
Published: Elsevier 2011-01-01
Series:Journal of Pathology Informatics
Subjects:
Automatic vector selection
MATLAB
parallel computing
SIVQ
histology
image analysis
pattern recognition
Online Access:http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2011;volume=2;issue=1;spage=37;epage=37;aulast=Cheng

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http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2011;volume=2;issue=1;spage=37;epage=37;aulast=Cheng

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