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Machine-Based Morphologic Analysis of Glioblastoma Using Whole-Slide Pathology Images Uncovers Clini...

Machine-Based Morphologic Analysis of Glioblastoma Using Whole-Slide Pathology Images Uncovers Clini...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1458259529

Machine-Based Morphologic Analysis of Glioblastoma Using Whole-Slide Pathology Images Uncovers Clinically Relevant Molecular Correlates

About this item

Full title

Machine-Based Morphologic Analysis of Glioblastoma Using Whole-Slide Pathology Images Uncovers Clinically Relevant Molecular Correlates

Publisher

United States: Public Library of Science

Journal title

PloS one, 2013-11, Vol.8 (11), p.e81049

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Pathologic review of tumor morphology in histologic sections is the traditional method for cancer classification and grading, yet human review has limitations that can result in low reproducibility and inter-observer agreement. Computerized image analysis can partially overcome these shortcomings due to its capacity to quantitatively and reproducib...

Alternative Titles

Full title

Machine-Based Morphologic Analysis of Glioblastoma Using Whole-Slide Pathology Images Uncovers Clinically Relevant Molecular Correlates

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_1458259529

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1458259529

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0081049

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