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 Datasets
About this item
Full title
Author / Creator
Publisher
Switzerland: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Switzerland: MDPI AG
Subjects
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
Authors, Artists and Contributors
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