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Impact of scanner variability on lymph node segmentation in computational pathology

Impact of scanner variability on lymph node segmentation in computational pathology

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_96d730e425404cf08623616d2e0c42ee

Impact of scanner variability on lymph node segmentation in computational pathology

About this item

Full title

Impact of scanner variability on lymph node segmentation in computational pathology

Publisher

United States: Elsevier Inc

Journal title

Journal of pathology informatics, 2022-01, Vol.13, p.100127, Article 100127

Language

English

Formats

Publication information

Publisher

United States: Elsevier Inc

More information

Scope and Contents

Contents

Computer-aided diagnostics in histopathology are based on the digitization of glass slides. However, heterogeneity between the images generated by different slide scanners can unfavorably affect the performance of computational algorithms. Here, we evaluate the impact of scanner variability on lymph node segmentation due to its clinical importance...

Alternative Titles

Full title

Impact of scanner variability on lymph node segmentation in computational pathology

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_96d730e425404cf08623616d2e0c42ee

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_96d730e425404cf08623616d2e0c42ee

Other Identifiers

ISSN

2153-3539,2229-5089

E-ISSN

2153-3539

DOI

10.1016/j.jpi.2022.100127

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