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Performance of Convolutional Neural Networks for Polyp Localization on Public Colonoscopy Image Data...

Performance of Convolutional Neural Networks for Polyp Localization on Public Colonoscopy Image Data...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2d1dc98758484c0b97a1fd5a98e71aa5

Performance of Convolutional Neural Networks for Polyp Localization on Public Colonoscopy Image Datasets

About this item

Full title

Performance of Convolutional Neural Networks for Polyp Localization on Public Colonoscopy Image Datasets

Publisher

Switzerland: MDPI AG

Journal title

Diagnostics (Basel), 2022-04, Vol.12 (4), p.898

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Colorectal cancer is one of the most frequent malignancies. Colonoscopy is the de facto standard for precancerous lesion detection in the colon, i.e., polyps, during screening studies or after facultative recommendation. In recent years, artificial intelligence, and especially deep learning techniques such as convolutional neural networks, have bee...

Alternative Titles

Full title

Performance of Convolutional Neural Networks for Polyp Localization on Public Colonoscopy Image Datasets

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_2d1dc98758484c0b97a1fd5a98e71aa5

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2d1dc98758484c0b97a1fd5a98e71aa5

Other Identifiers

ISSN

2075-4418

E-ISSN

2075-4418

DOI

10.3390/diagnostics12040898

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