Computer-aided identification of prostatic adenocarcinoma: Segmentation of glandular structures

Computer-aided identification of prostatic adenocarcinoma: Segmentation of glandular structures

Background: Identification of individual prostatic glandular structures is an important prerequisite to quantitative histological analysis of prostate cancer with the aid of a computer. We have developed a computer method to segment individual glandular units and to extract quantitative image featur...

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Bibliographic Details
Main Authors: Yahui Peng, Yulei Jiang, Laurie Eisengart, Mark A Healy, Francis H Straus, Ximing J Yang
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2011-01-01
Series:Journal of Pathology Informatics
Subjects:
Computer-aided classification
digital histology images
feature analysis
image segmentation
prostatic adenocarcinoma
Online Access:http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2011;volume=2;issue=1;spage=33;epage=33;aulast=Peng

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http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2011;volume=2;issue=1;spage=33;epage=33;aulast=Peng

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