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Proceedings Paper

Integrative analysis on histopathological image for identifying cellular heterogeneity
Author(s): Young Hwan Chang; Guillaume Thibault; Brett Johnson; Adam Margolin; Joe W. Gray
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Paper Abstract

This study has brought together image processing, clustering and spatial pattern analysis to quantitatively analyze hematoxylin and eosin-stained (HE) tissue sections. A mixture of tumor and normal cells (intratumoral heterogeneity) as well as complex tissue architectures of most samples complicate the interpretation of their cytological profiles. To address these challenges, we develop a simple but effective methodology for quantitative analysis for HE section. We adopt comparative analyses of spatial point patterns to characterize spatial distribution of different nuclei types and complement cellular characteristics analysis. We demonstrate that tumor and normal cell regions exhibit significant differences of lymphocytes spatial distribution or lymphocyte infiltration pattern.

Paper Details

Date Published: 1 March 2017
PDF: 6 pages
Proc. SPIE 10140, Medical Imaging 2017: Digital Pathology, 101400T (1 March 2017); doi: 10.1117/12.2250428
Show Author Affiliations
Young Hwan Chang, Oregon Health & Science Univ. (United States)
Guillaume Thibault, Oregon Health & Science Univ. (United States)
Brett Johnson, Oregon Health & Science Univ. (United States)
Adam Margolin, Oregon Health & Science Univ. (United States)
Joe W. Gray, Oregon Health & Science Univ. (United States)


Published in SPIE Proceedings Vol. 10140:
Medical Imaging 2017: Digital Pathology
Metin N. Gurcan; John E. Tomaszewski, Editor(s)

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