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Cephalometric Landmark Detection Using a Multi‐Scale Cross‐Attention Model

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Published in:IET Computer Vision
Format: Online Article RSS Article
Published: 2026
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container_title IET Computer Vision
description
discipline_display Technology & Engineering
discipline_facet Technology & Engineering
format Online Article
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genre Journal Article
id rss_article:26071
institution FRELIP
journal_source_facet IET Computer Vision
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Cephalometric Landmark Detection Using a Multi‐Scale Cross‐Attention Model
Image and Video Processing
Technology & Engineering — Computing
Technology & Engineering
sub_discipline_display Technology & Engineering — Computing
sub_discipline_facet Technology & Engineering — Computing
subject_display Image and Video Processing
Technology & Engineering — Computing
Technology & Engineering
Image and Video Processing
Technology & Engineering — Computing
Technology & Engineering
subject_facet Image and Video Processing
Technology & Engineering — Computing
Technology & Engineering
title Cephalometric Landmark Detection Using a Multi‐Scale Cross‐Attention Model
title_auth Cephalometric Landmark Detection Using a Multi‐Scale Cross‐Attention Model
title_full Cephalometric Landmark Detection Using a Multi‐Scale Cross‐Attention Model
title_fullStr Cephalometric Landmark Detection Using a Multi‐Scale Cross‐Attention Model
title_full_unstemmed Cephalometric Landmark Detection Using a Multi‐Scale Cross‐Attention Model
title_short Cephalometric Landmark Detection Using a Multi‐Scale Cross‐Attention Model
title_sort cephalometric landmark detection using a multi‐scale cross‐attention model
topic Image and Video Processing
Technology & Engineering — Computing
Technology & Engineering
url https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/cvi2.70056?af=R