Log in to save to my catalogue

A multi-centre polyp detection and segmentation dataset for generalisability assessment

A multi-centre polyp detection and segmentation dataset for generalisability assessment

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6ce6480cdb454733b99a5a78de2cbf9e

A multi-centre polyp detection and segmentation dataset for generalisability assessment

About this item

Full title

A multi-centre polyp detection and segmentation dataset for generalisability assessment

Publisher

London: Nature Publishing Group UK

Journal title

Scientific data, 2023-02, Vol.10 (1), p.75-17, Article 75

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Polyps in the colon are widely known cancer precursors identified by colonoscopy. Whilst most polyps are benign, the polyp’s number, size and surface structure are linked to the risk of colon cancer. Several methods have been developed to automate polyp detection and segmentation. However, the main issue is that they are not tested rigorously on a...

Alternative Titles

Full title

A multi-centre polyp detection and segmentation dataset for generalisability assessment

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_6ce6480cdb454733b99a5a78de2cbf9e

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6ce6480cdb454733b99a5a78de2cbf9e

Other Identifiers

ISSN

2052-4463

E-ISSN

2052-4463

DOI

10.1038/s41597-023-01981-y