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Annotation Tools in Gastrointestinal Polyp Annotation
Capsule endoscopy (CE) is a valid alternative to conventional gastrointestinal (GI) endoscopy tools. In CE, annotation tools are crucial in developing large and annotated medical image databases for training deep neural networks (DNN). We provide an overview of the described and in-use various annot...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9600922/ https://www.ncbi.nlm.nih.gov/pubmed/36292013 http://dx.doi.org/10.3390/diagnostics12102324 |
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author | Selnes, Ola Bjørsum-Meyer, Thomas Histace, Aymeric Baatrup, Gunnar Koulaouzidis, Anastasios |
author_facet | Selnes, Ola Bjørsum-Meyer, Thomas Histace, Aymeric Baatrup, Gunnar Koulaouzidis, Anastasios |
author_sort | Selnes, Ola |
collection | PubMed |
description | Capsule endoscopy (CE) is a valid alternative to conventional gastrointestinal (GI) endoscopy tools. In CE, annotation tools are crucial in developing large and annotated medical image databases for training deep neural networks (DNN). We provide an overview of the described and in-use various annotation systems available, focusing on the annotation of adenomatous polyp pathology in the GI tract. Some studies present promising results regarding time efficiency by implementing automated labelling features in annotation systems. Thus, data are inadequate regarding the general overview for users, and may also be more specific on which features provided are necessary for polyp annotation. |
format | Online Article Text |
id | pubmed-9600922 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96009222022-10-27 Annotation Tools in Gastrointestinal Polyp Annotation Selnes, Ola Bjørsum-Meyer, Thomas Histace, Aymeric Baatrup, Gunnar Koulaouzidis, Anastasios Diagnostics (Basel) Review Capsule endoscopy (CE) is a valid alternative to conventional gastrointestinal (GI) endoscopy tools. In CE, annotation tools are crucial in developing large and annotated medical image databases for training deep neural networks (DNN). We provide an overview of the described and in-use various annotation systems available, focusing on the annotation of adenomatous polyp pathology in the GI tract. Some studies present promising results regarding time efficiency by implementing automated labelling features in annotation systems. Thus, data are inadequate regarding the general overview for users, and may also be more specific on which features provided are necessary for polyp annotation. MDPI 2022-09-26 /pmc/articles/PMC9600922/ /pubmed/36292013 http://dx.doi.org/10.3390/diagnostics12102324 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Selnes, Ola Bjørsum-Meyer, Thomas Histace, Aymeric Baatrup, Gunnar Koulaouzidis, Anastasios Annotation Tools in Gastrointestinal Polyp Annotation |
title | Annotation Tools in Gastrointestinal Polyp Annotation |
title_full | Annotation Tools in Gastrointestinal Polyp Annotation |
title_fullStr | Annotation Tools in Gastrointestinal Polyp Annotation |
title_full_unstemmed | Annotation Tools in Gastrointestinal Polyp Annotation |
title_short | Annotation Tools in Gastrointestinal Polyp Annotation |
title_sort | annotation tools in gastrointestinal polyp annotation |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9600922/ https://www.ncbi.nlm.nih.gov/pubmed/36292013 http://dx.doi.org/10.3390/diagnostics12102324 |
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