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Spatial analysis for colon biopsy classification from hyperspectral imagery

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Masood, Khalid and Rajpoot, Nasir M. (Nasir Mahmood). (2008) Spatial analysis for colon biopsy classification from hyperspectral imagery. Annals of the BMVA, Vol.2008 (No.4). pp. 1-16.

Full text not available from this repository.
Official URL: http://www.bmva.org/annals/2008/2008-0004.pdf

Abstract

Automatic classification of histology images, the objective of our research, is aimed at supporting the pathologists in their diagnosis. In this paper, we present a comparative study between 3D spectral/spatial analysis (SSA) and 2D spatial analysis (SA) for the classification of colon biopsy samples from their hyperspectral images. Classification results suggest that textural analysis of 2D bands can achieve comparable performance to 3D spectral/spatial analysis.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
R Medicine > RB Pathology
R Medicine > RC Internal medicine > RC0254 Neoplasms. Tumors. Oncology (including Cancer)
Divisions: Faculty of Science > Computer Science
Library of Congress Subject Headings (LCSH): Automatic classification, Imaging systems in medicine, Colon (Anatomy) -- Biopsy, Colon (Anatomy) -- Cancer, Histology, Pathological, Spectrum analysis
Journal or Publication Title: Annals of the BMVA
Publisher: The British Machine Vision Association and Society for Pattern Recognition
Date: 2008
Volume: Vol.2008
Number: No.4
Page Range: pp. 1-16
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
URI: http://wrap.warwick.ac.uk/id/eprint/37082

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