Self-supervised learning for classifying paranasal anomalies in the maxillary sinus

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Self-supervised learning for classifying paranasal anomalies in the maxillary sinus ; day:8 ; month:6 ; year:2024 ; pages:1-9
International journal of computer assisted radiology and surgery ; (8.6.2024), 1-9

Creator: Bhattacharya, Debayan
Behrendt, Finn
Becker, Benjamin Tobias
Maack, Lennart
Beyersdorff, Dirk
Petersen, Elina
Petersen, Marvin
Cheng, Bastian
Eggert, Dennis
Betz, Christian Stephan
Hoffmann, Anna Sophie
Schlaefer, Alexander

Contributor: SpringerLink (Online service)

DOI: 10.1007/s11548-024-03172-5

URN: urn:nbn:de:101:1-2408161105389.035270609495

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:44 AM CEST

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Bhattacharya, Debayan
Behrendt, Finn
Becker, Benjamin Tobias
Maack, Lennart
Beyersdorff, Dirk
Petersen, Elina
Petersen, Marvin
Cheng, Bastian
Eggert, Dennis
Betz, Christian Stephan
Hoffmann, Anna Sophie
Schlaefer, Alexander
SpringerLink (Online service)

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Self-supervised learning for classifying paranasal anomalies in the maxillary sinus

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Other Objects (12)

Self-supervised learning for classifying paranasal anomalies in the maxillary sinus

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Efficient neural architecture search on low-dimensional data for OCT image segmentation

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