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DGCNet: a clinical knowledge-driven model for the segmentation of reflux esophagitis in endoscopic images

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Published in:Gastroenterology Report
Format: Online Article RSS Article
Published: 2026
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container_title Gastroenterology Report
description
discipline_display Gastroenterology and Hepatology
discipline_facet Gastroenterology and Hepatology
format Online Article
RSS Article
genre Journal Article
id rss_article:71185
institution FRELIP
journal_source_facet Gastroenterology Report
last_indexed 2026-06-20T21:29:57.061Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle DGCNet: a clinical knowledge-driven model for the segmentation of reflux esophagitis in endoscopic images
Gastroenterology and Hepatology
General
Gastroenterology and Hepatology
sub_discipline_display General
sub_discipline_facet General
subject_display Gastroenterology and Hepatology
General
Gastroenterology and Hepatology
subject_facet Gastroenterology and Hepatology
General
Gastroenterology and Hepatology
title DGCNet: a clinical knowledge-driven model for the segmentation of reflux esophagitis in endoscopic images
title_alt DGCNet: un modelo impulsado por conocimiento clínico para la segmentación de esofagitis por reflujo en imágenes endoscópicas
DGCNet : un modèle guidé par les connaissances cliniques pour la segmentation de l'œsophagite par reflux dans les images endoscopiques
DGCNet: um modelo orientado por conhecimento clínico para segmentação de esofagite de refluxo em imagens endoscópicas
title_auth DGCNet: a clinical knowledge-driven model for the segmentation of reflux esophagitis in endoscopic images
title_es_txt DGCNet: un modelo impulsado por conocimiento clínico para la segmentación de esofagitis por reflujo en imágenes endoscópicas
title_fr_txt DGCNet : un modèle guidé par les connaissances cliniques pour la segmentation de l'œsophagite par reflux dans les images endoscopiques
title_full DGCNet: a clinical knowledge-driven model for the segmentation of reflux esophagitis in endoscopic images
title_fullStr DGCNet: a clinical knowledge-driven model for the segmentation of reflux esophagitis in endoscopic images
title_full_unstemmed DGCNet: a clinical knowledge-driven model for the segmentation of reflux esophagitis in endoscopic images
title_pt_txt DGCNet: um modelo orientado por conhecimento clínico para segmentação de esofagite de refluxo em imagens endoscópicas
title_short DGCNet: a clinical knowledge-driven model for the segmentation of reflux esophagitis in endoscopic images
title_sort dgcnet: a clinical knowledge-driven model for the segmentation of reflux esophagitis in endoscopic images
topic Gastroenterology and Hepatology
General
Gastroenterology and Hepatology
url https://academic.oup.com/gastro/article/doi/10.1093/gastro/goag046/8691711?rss=1