Texture based Classification of Hyperspectral Colon Biopsy Samples using CBLP
Masood, K. and Rajpoot, N.M. (2009) Texture based Classification of Hyperspectral Colon Biopsy Samples using CBLP. In: 6th IEEE International Symposium on Biomedical Imaging (ISBI 2009), 28 June - July 1, 2009, Boston, US.
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Official URL: http://doi.ieeecomputersociety.org/10.1109/ISBI.20...
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 or Workshop Item (Paper)|
|Uncontrolled Keywords:||combi texture histology|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
|Divisions:||Faculty of Science > Computer Science|
|Depositing User:||Jason Nurse|
|Date Deposited:||18 Dec 2010 12:28|
|Last Modified:||26 Jul 2011 12:17|
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