Feature-based analysis of mouse prostatic intraepithelial neoplasia in histological tissue sections

This paper describes work presented at the Nordic Symposium on Digital Pathology 2015, in Linköping, Sweden. Prostatic intraepithelial neoplasia (PIN) represents premalignant tissue involving epithelial growth confined in the lumen of prostatic acini. In the attempts to understand oncogenesis in the...

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Bibliographic Details
Main Authors:	Pekka Ruusuvuori, Mira Valkonen, Matti Nykter, Tapio Visakorpi, Leena Latonen
Format:	Article
Language:	English
Published:	Elsevier 2016-01-01
Series:	Journal of Pathology Informatics
Subjects:	Histopathological image analysis machine learning prostatic intraepithelial neoplasia
Online Access:	http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2016;volume=7;issue=1;spage=5;epage=5;aulast=Ruusuvuori

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http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2016;volume=7;issue=1;spage=5;epage=5;aulast=Ruusuvuori

Feature-based analysis of mouse prostatic intraepithelial neoplasia in histological tissue sections

Internet

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