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Quantifying local heterogeneity via morphologic scale: Distinguishing tumoral from stromal regions

Quantifying local heterogeneity via morphologic scale: Distinguishing tumoral from stromal regions

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_97987188c0f54bf8a32f7605ed6f7adb

Quantifying local heterogeneity via morphologic scale: Distinguishing tumoral from stromal regions

About this item

Full title

Quantifying local heterogeneity via morphologic scale: Distinguishing tumoral from stromal regions

Publisher

India: Elsevier Inc

Journal title

Journal of pathology informatics, 2013, Vol.4 (2), p.8-S8, Article 8

Language

English

Formats

Publication information

Publisher

India: Elsevier Inc

More information

Scope and Contents

Contents

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 adaptive scale definition, morphologic scale (MS)...

Alternative Titles

Full title

Quantifying local heterogeneity via morphologic scale: Distinguishing tumoral from stromal regions

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_97987188c0f54bf8a32f7605ed6f7adb

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_97987188c0f54bf8a32f7605ed6f7adb

Other Identifiers

ISSN

2153-3539,2229-5089

E-ISSN

2153-3539

DOI

10.4103/2153-3539.109865

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