Masood, Khalid and Rajpoot, Nasir M. (Nasir Mahmood) (2009) Texture based classification of hyperspectral colon biopsy samples using CLBP. In: IEEE Internaional Symposium on Biomedical Imaging - From Nano to Macro, Boston, MA, June 28-July 01, 2009. Published in: 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings pp. 1011-1014.

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Abstract

Computer aided diagnosis (CAD) is aimed at supporting the pathologists in their diagnosis. In this paper, we present an algorithm for texture-based classification of colon tissue patterns. In this method, a single band is selected from its hyperspectral cube and spatial analysis is performed using circular local binary pattern (CLBP) features. A novel method for feature selection is presented resulting in the best feature set without actually running the classifier. Classification results using Gaussian kernel SVM, with an accuracy of 90%, demonstrate that texture analysis based on CLBP features is able to distinguish the benign and malignant patterns.

Item Type:	Conference Item (Paper)
Subjects:	R Medicine
Divisions:	Faculty of Science > Computer Science
Journal or Publication Title:	2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings
Publisher:	IEEE
ISBN:	978-1-4244-3931-7
Date:	2009
Number of Pages:	4
Page Range:	pp. 1011-1014
Identification Number:	10.1109/ISBI.2009.5193226
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
Conference Paper Type:	Paper
Title of Event:	IEEE Internaional Symposium on Biomedical Imaging - From Nano to Macro
Type of Event:	Conference
Location of Event:	Boston, MA
Date(s) of Event:	June 28-July 01, 2009
URI:	http://wrap.warwick.ac.uk/id/eprint/17185

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