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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...

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Detalles Bibliográficos
Autores principales: Selnes, Ola, Bjørsum-Meyer, Thomas, Histace, Aymeric, Baatrup, Gunnar, Koulaouzidis, Anastasios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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.
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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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