Texture based classification of hyperspectral colon biopsy samples using CLBP
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.Full text not available from this repository.
Official URL: http://dx.doi.org/10.1109/ISBI.2009.5193226
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)|
|Divisions:||Faculty of Science > Computer Science|
|Journal or Publication Title:||2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings|
|Number of Pages:||4|
|Page Range:||pp. 1011-1014|
|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|
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