Automated mitosis detection using texture, SIFT features and HMAX biologically inspired approach

Automated mitosis detection using texture, SIFT features and HMAX biologically inspired approach

Context: According to Nottingham grading system, mitosis count in breast cancer histopathology is one of three components required for cancer grading and prognosis. Manual counting of mitosis is tedious and subject to considerable inter- and intra-reader variations. Aims: The aim is to investigate t...

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Bibliographic Details
Main Authors: Humayun Irshad, Sepehr Jalali, Ludovic Roux, Daniel Racoceanu, Lim Joo Hwee, Gilles Le Naour, Frédérique Capron
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2013-01-01
Series:Journal of Pathology Informatics
Subjects:
Classification
histopathology
Hierarchical Model and X
mitosis detection
Scale-invariant feature transform
texture analysis
Online Access:http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2013;volume=4;issue=2;spage=12;epage=12;aulast=Irshad

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http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2013;volume=4;issue=2;spage=12;epage=12;aulast=Irshad

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