Paper Info
Title
Analysis of Cellular Feature Differences of Astrocytomas with Distinct Mutational Profiles Using Digitized Histopathology Images.
Abstract
Cellular phenotypic features derived from histopathology images are the basis of pathologic diagnosis and are thought to be related to underlying molecular profiles. Due to overwhelming cell numbers and population heterogeneity, it remains challenging to quantitatively compute and compare features of cells with distinct molecular signatures. In this study, we propose a self-reliant and efficient analysis framework that supports quantitative analysis of cellular phenotypic difference across distinct molecular groups. To demonstrate efficacy, we quantitatively analyze astrocytomas that are molecularly characterized as either Isocitrate Dehydrogenase (IDH) mutant (MUT) or wildtype (WT) using imaging data from The Cancer Genome Atlas database. Representative cell instances that are phenotypically different between these two groups are retrieved after segmentation, feature computation, data pruning, dimensionality reduction, and unsupervised clustering. Our analysis is generic and can be applied to a wide set of cell-based biomedical research.
Year
DOI
Venue
2018
10.1109/EMBC.2018.8513157
EMBC
DocType
Volume
Citations 
Conference
abs/1806.09093
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Mousumi Roy111.11
Fusheng Wang2848.79
George Teodoro315022.18
Jose Velazqeuz Vega400.34
Daniel J. Brat5859.91
Jun Kong610617.74