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Response to Artificial intelligence-based colorectal polyp histology prediction using narrow-band image-magnifying colonoscopy: a stepping stone for clinical practice
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Society of Gastrointestinal Endoscopy
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9539298/ https://www.ncbi.nlm.nih.gov/pubmed/36205048 http://dx.doi.org/10.5946/ce.2022.123.1 |
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author | Racz, Istvan Horvath, Andras Horvath, Zoltán |
author_facet | Racz, Istvan Horvath, Andras Horvath, Zoltán |
author_sort | Racz, Istvan |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-9539298 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Korean Society of Gastrointestinal Endoscopy |
record_format | MEDLINE/PubMed |
spelling | pubmed-95392982022-10-17 Response to Artificial intelligence-based colorectal polyp histology prediction using narrow-band image-magnifying colonoscopy: a stepping stone for clinical practice Racz, Istvan Horvath, Andras Horvath, Zoltán Clin Endosc Response Korean Society of Gastrointestinal Endoscopy 2022-09 2022-09-27 /pmc/articles/PMC9539298/ /pubmed/36205048 http://dx.doi.org/10.5946/ce.2022.123.1 Text en Copyright © 2022 Korean Society of Gastrointestinal Endoscopy https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Response Racz, Istvan Horvath, Andras Horvath, Zoltán Response to Artificial intelligence-based colorectal polyp histology prediction using narrow-band image-magnifying colonoscopy: a stepping stone for clinical practice |
title | Response to Artificial intelligence-based colorectal polyp histology prediction using narrow-band image-magnifying colonoscopy: a stepping stone for clinical practice |
title_full | Response to Artificial intelligence-based colorectal polyp histology prediction using narrow-band image-magnifying colonoscopy: a stepping stone for clinical practice |
title_fullStr | Response to Artificial intelligence-based colorectal polyp histology prediction using narrow-band image-magnifying colonoscopy: a stepping stone for clinical practice |
title_full_unstemmed | Response to Artificial intelligence-based colorectal polyp histology prediction using narrow-band image-magnifying colonoscopy: a stepping stone for clinical practice |
title_short | Response to Artificial intelligence-based colorectal polyp histology prediction using narrow-band image-magnifying colonoscopy: a stepping stone for clinical practice |
title_sort | response to artificial intelligence-based colorectal polyp histology prediction using narrow-band image-magnifying colonoscopy: a stepping stone for clinical practice |
topic | Response |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9539298/ https://www.ncbi.nlm.nih.gov/pubmed/36205048 http://dx.doi.org/10.5946/ce.2022.123.1 |
work_keys_str_mv | AT raczistvan responsetoartificialintelligencebasedcolorectalpolyphistologypredictionusingnarrowbandimagemagnifyingcolonoscopyasteppingstoneforclinicalpractice AT horvathandras responsetoartificialintelligencebasedcolorectalpolyphistologypredictionusingnarrowbandimagemagnifyingcolonoscopyasteppingstoneforclinicalpractice AT horvathzoltan responsetoartificialintelligencebasedcolorectalpolyphistologypredictionusingnarrowbandimagemagnifyingcolonoscopyasteppingstoneforclinicalpractice |