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A deep learning algorithm for automatic 3D segmentation and classification of the sheep placenta in magnetic resonance images

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Published in:Physiological Reports
Format: Online Article RSS Article
Published: 2026
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container_title Physiological Reports
description
discipline_display Medical & Health Sciences
discipline_facet Medical & Health Sciences
format Online Article
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genre Journal Article
id rss_article:22762
institution FRELIP
journal_source_facet Physiological Reports
publishDate 2026
publishDateSort 2026
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spellingShingle A deep learning algorithm for automatic 3D segmentation and classification of the sheep placenta in magnetic resonance images
— — — — — Physiology
Public Health
Medical & Health Sciences
sub_discipline_display Public Health
sub_discipline_facet Public Health
subject_display — — — — — Physiology
Public Health
Medical & Health Sciences
— — — — — Physiology
Public Health
Medical & Health Sciences
subject_facet — — — — — Physiology
Public Health
Medical & Health Sciences
title A deep learning algorithm for automatic 3D segmentation and classification of the sheep placenta in magnetic resonance images
title_auth A deep learning algorithm for automatic 3D segmentation and classification of the sheep placenta in magnetic resonance images
title_full A deep learning algorithm for automatic 3D segmentation and classification of the sheep placenta in magnetic resonance images
title_fullStr A deep learning algorithm for automatic 3D segmentation and classification of the sheep placenta in magnetic resonance images
title_full_unstemmed A deep learning algorithm for automatic 3D segmentation and classification of the sheep placenta in magnetic resonance images
title_short A deep learning algorithm for automatic 3D segmentation and classification of the sheep placenta in magnetic resonance images
title_sort a deep learning algorithm for automatic 3d segmentation and classification of the sheep placenta in magnetic resonance images
topic — — — — — Physiology
Public Health
Medical & Health Sciences
url https://physoc.onlinelibrary.wiley.com/doi/10.14814/phy2.70869?af=R