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Autor:
José V. Manjón, Nicolas Papadakis, Pierrick Coupé, Reda Abdellah Kamraoui, Fanny Compaire, Vinh-Thong Ta
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030871956
MICCAI (2)
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, Sep 2021, Strasbourg (virtual), France. pp.373-382, ⟨10.1007/978-3-030-87196-3_35⟩
MICCAI (2)
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, Sep 2021, Strasbourg (virtual), France. pp.373-382, ⟨10.1007/978-3-030-87196-3_35⟩
International audience; Semi-supervised learning (SSL) uses unlabeled data to compensate for the scarcity of annotated images and the lack of method generalization to unseen domains, two usual problems in medical segmentation tasks. In this work, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22d27b6fd16ccb47351f2c9b8dd5da3a
https://doi.org/10.1007/978-3-030-87196-3_35
https://doi.org/10.1007/978-3-030-87196-3_35
