Content-based image retrieval of digitized histopathology in boosted spectrally embedded spaces

Content-based image retrieval of digitized histopathology in boosted spectrally embedded spaces

Context : Content-based image retrieval (CBIR) systems allow for retrieval of images from within a database that are similar in visual content to a query image. This is useful for digital pathology, where text-based descriptors alone might be inadequate to accurately describe image content. By repre...

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Bibliographic Details
Main Authors: Akshay Sridhar, Scott Doyle, Anant Madabhushi
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2015-01-01
Series:Journal of Pathology Informatics
Subjects:
Boosted, breast cancer, content-based image retrieval, histopathology, non-linear dimensionality reduction, prostate cancer, spectral embedding
Online Access:http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2015;volume=6;issue=1;spage=41;epage=41;aulast=Sridhar

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http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2015;volume=6;issue=1;spage=41;epage=41;aulast=Sridhar

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