Quantifying local heterogeneity via morphologic scale: Distinguishing tumoral from stromal regions
Introduction: The notion of local scale was introduced to characterize varying levels of image detail so that localized image processing tasks could be performed while simultaneously yielding a globally optimal result. In this paper, we have presented the methodological framework for a novel locally...
Main Authors: | Andrew Janowczyk, Sharat Chandran, Anant Madabhushi |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2013-01-01
|
Series: | Journal of Pathology Informatics |
Subjects: | |
Online Access: | http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2013;volume=4;issue=2;spage=8;epage=8;aulast=Janowczyk |
Similar Items
-
Effect of substrate micro-morphology on heterogeneous nucleation
by: Zhang Ying, et al.
Published: (2012-08-01) -
Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases
by: Andrew Janowczyk, et al.
Published: (2016-01-01) -
Scale morphology of Prochilodus lineatus with emphasis on the scale epithelium
by: RMS. Alves, et al. -
A Novel Multi-Scale Particle Morphology Descriptor with the Application of SPHERICAL Harmonics
by: Wei Xiong, et al.
Published: (2020-07-01) -
The Morphology, Dynamics and Potential Hotspots of Land Surface Temperature at a Local Scale in Urban Areas
by: Jiong Wang, et al.
Published: (2015-12-01)