Texture analysis for colorectal tumour biopsies using multispectral imagery

Peyret, Remy, Bouridane, Ahmed, Al-Maadeed, Somaya, Kunhoth, Suchithra and Khelifi, Fouad (2015) Texture analysis for colorectal tumour biopsies using multispectral imagery. In: 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015 ), 25 - 29 August 2015, Milan.

Full text not available from this repository.

Abstract

Colorectal cancer is one of the most common cancers in the world. As part of its diagnosis, a histological analysis is often run on biopsy samples. Multispecral imagery taken from cancer tissues can be useful to capture more meaningful features. However, the resulting data is usually very large having a large number of varying feature types. This papers aims to investigate and compare the performances of multispectral imagery taken from colorectal biopsies using different techniques for texture feature extraction inclduing local binary patterns, Haraclick features and local intensity order patterns. Various classifiers such as Support Vector Machine and Random Forest are also investigated. The results show the superiority of multispectral imaging over the classical panchromatic approach. In the multispectral imagery's analysis, the local binary patterns combined with Support Vector Machine classifier gives very good results achieving an accuracy of 91.3%.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Haraclick features, colorectal cancer, colorectal tumour biopsies, local binary patterns
Subjects:	B800 Medical Technology B900 Others in Subjects allied to Medicine H900 Others in Engineering
Department:	Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User:	Ay Okpokam
Date Deposited:	20 Jan 2016 17:08
Last Modified:	12 Oct 2019 20:51
URI:	http://nrl.northumbria.ac.uk/id/eprint/25580

Downloads