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AI‐Enabled Mucus Segmentation in Nasal Endoscopy with State Space and Attention‐Based Modeling

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Bibliographic Details
Published in:Laryngoscope Investigative Otolaryngology
Format: Online Article RSS Article
Published: 2026
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container_title Laryngoscope Investigative Otolaryngology
description
discipline_display Otorhinolaryngology
discipline_facet Otorhinolaryngology
format Online Article
RSS Article
genre Journal Article
id rss_article:91339
institution FRELIP
journal_source_facet Laryngoscope Investigative Otolaryngology
last_indexed 2026-06-14T02:03:22.160Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle AI‐Enabled Mucus Segmentation in Nasal Endoscopy with State Space and Attention‐Based Modeling
Otorhinolaryngology
General
Otorhinolaryngology
sub_discipline_display General
sub_discipline_facet General
subject_display Otorhinolaryngology
General
Otorhinolaryngology
Otorhinolaryngology
General
Otorhinolaryngology
subject_facet Otorhinolaryngology
General
Otorhinolaryngology
title AI‐Enabled Mucus Segmentation in Nasal Endoscopy with State Space and Attention‐Based Modeling
title_auth AI‐Enabled Mucus Segmentation in Nasal Endoscopy with State Space and Attention‐Based Modeling
title_full AI‐Enabled Mucus Segmentation in Nasal Endoscopy with State Space and Attention‐Based Modeling
title_fullStr AI‐Enabled Mucus Segmentation in Nasal Endoscopy with State Space and Attention‐Based Modeling
title_full_unstemmed AI‐Enabled Mucus Segmentation in Nasal Endoscopy with State Space and Attention‐Based Modeling
title_short AI‐Enabled Mucus Segmentation in Nasal Endoscopy with State Space and Attention‐Based Modeling
title_sort ai‐enabled mucus segmentation in nasal endoscopy with state space and attention‐based modeling
topic Otorhinolaryngology
General
Otorhinolaryngology
url https://onlinelibrary.wiley.com/doi/10.1002/lio2.70467?af=R