Comparison of the spatial organization in colorectal tumors using second-order statistics and functional ANOVA

We propose an automatic method to quantitatively describe the spatial organization governing populations of biological objects, such as cells, which exist in stationary histology images. This quantification is of prime importance when striving to compare different tumoral models in order to evaluate...

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Bibliographic Details
Published in2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA) pp. 257 - 261
Main Authors Aliy, Maya Alsheh, Seguin, Johanne, Fischer, Aurelie, Mignet, Nathalie, Wendling, Laurent, Hurtut, Thomas
Format Conference Proceeding
LanguageEnglish
Published University of Trieste and University of Zagreb 01.09.2013
Subjects
Analysis of variance
animal cancer models
Besag L-function
Biological system modeling
Cancer
functional ANOVA
Implants
Organizations
topographic map
Tumors
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Summary:We propose an automatic method to quantitatively describe the spatial organization governing populations of biological objects, such as cells, which exist in stationary histology images. This quantification is of prime importance when striving to compare different tumoral models in order to evaluate potential therapies. We compare two animal models of colorectal cancer. Our approach is based on the topographic map to automatically extract the location of the relevant biological objects. We describe their spatial organization along a continuous range of scales using second-order statistics. Using a functional analysis of variance test, we show that there are significant differences in these statistics depending on cancer model, and on the day after tumor implant.
ISSN:1845-5921
DOI:10.1109/ISPA.2013.6703749