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Response to Artificial intelligence-based colorectal polyp histology prediction using ...

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Bibliographic Details
Published in:Annals of Rehabilitation Medicine
Format: Online Article RSS Article
Published: 2022
Subjects:
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collection WordPress RSS
FRELIP Feed Integration
container_title Annals of Rehabilitation Medicine
description
discipline_display Medical & Health Sciences
discipline_facet Medical & Health Sciences
format Online Article
RSS Article
genre Journal Article
id rss_article:23784
institution FRELIP
journal_source_facet Annals of Rehabilitation Medicine
publishDate 2022
publishDateSort 2022
record_format rss_article
spellingShingle Response to Artificial intelligence-based colorectal polyp histology prediction using ...
— — — — — Occupational Health and Safety
Public Health
Medical & Health Sciences
sub_discipline_display Public Health
sub_discipline_facet Public Health
subject_display — — — — — Occupational Health and Safety
Public Health
Medical & Health Sciences
— — — — — Occupational Health and Safety
Public Health
Medical & Health Sciences
subject_facet — — — — — Occupational Health and Safety
Public Health
Medical & Health Sciences
title Response to Artificial intelligence-based colorectal polyp histology prediction using ...
title_auth Response to Artificial intelligence-based colorectal polyp histology prediction using ...
title_full Response to Artificial intelligence-based colorectal polyp histology prediction using ...
title_fullStr Response to Artificial intelligence-based colorectal polyp histology prediction using ...
title_full_unstemmed Response to Artificial intelligence-based colorectal polyp histology prediction using ...
title_short Response to Artificial intelligence-based colorectal polyp histology prediction using ...
title_sort response to artificial intelligence-based colorectal polyp histology prediction using ...
topic — — — — — Occupational Health and Safety
Public Health
Medical & Health Sciences
url http://www.e-ce.org/journal/view.php?number=7685