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A cortically-inspired predictive coding framework for polyp segmentation

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Published in:Discover Artificial Intelligence (Springer)
Format: Online Article RSS Article
Published: 2026
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container_title Discover Artificial Intelligence (Springer)
description
discipline_display Access Artificial Intelligence and Machine Learning
discipline_facet Access Artificial Intelligence and Machine Learning
format Online Article
RSS Article
genre Journal Article
id rss_article:91109
institution FRELIP
journal_source_facet Discover Artificial Intelligence (Springer)
last_indexed 2026-06-13T02:00:50.500Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle A cortically-inspired predictive coding framework for polyp segmentation
Access Artificial Intelligence and Machine Learning
General
Access Artificial Intelligence and Machine Learning
sub_discipline_display General
sub_discipline_facet General
subject_display Access Artificial Intelligence and Machine Learning
General
Access Artificial Intelligence and Machine Learning
Access Artificial Intelligence and Machine Learning
General
Access Artificial Intelligence and Machine Learning
subject_facet Access Artificial Intelligence and Machine Learning
General
Access Artificial Intelligence and Machine Learning
title A cortically-inspired predictive coding framework for polyp segmentation
title_auth A cortically-inspired predictive coding framework for polyp segmentation
title_full A cortically-inspired predictive coding framework for polyp segmentation
title_fullStr A cortically-inspired predictive coding framework for polyp segmentation
title_full_unstemmed A cortically-inspired predictive coding framework for polyp segmentation
title_short A cortically-inspired predictive coding framework for polyp segmentation
title_sort a cortically-inspired predictive coding framework for polyp segmentation
topic Access Artificial Intelligence and Machine Learning
General
Access Artificial Intelligence and Machine Learning
url https://link.springer.com/article/10.1007/s44163-026-01559-8