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Endoscopic diagnosis and treatment planning for colorectal polyps using a deep-learning model

Endoscopic diagnosis and treatment planning for colorectal polyps using a deep-learning model

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6949236

Endoscopic diagnosis and treatment planning for colorectal polyps using a deep-learning model

About this item

Full title

Endoscopic diagnosis and treatment planning for colorectal polyps using a deep-learning model

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2020-01, Vol.10 (1), p.30-30, Article 30

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

We aimed to develop a computer-aided diagnostic system (CAD) for predicting colorectal polyp histology using deep-learning technology and to validate its performance. Near-focus narrow-band imaging (NBI) pictures of colorectal polyps were retrieved from the database of our institution. Of these, 12480 image patches of 624 polyps were used as a trai...

Alternative Titles

Full title

Endoscopic diagnosis and treatment planning for colorectal polyps using a deep-learning model

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6949236

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6949236

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-019-56697-0

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