R2U++: a multiscale recurrent residual U-Net with dense skip connections for medical image segmentation
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1433-3058
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
R2U++: a multiscale recurrent residual U-Net with dense skip connections for medical image segmentation ; day:3 ; month:6 ; year:2022 ; pages:1-17
Neural computing & applications ; (3.6.2022), 1-17
- Urheber
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Mubashar, Mehreen
Ali, Hazrat
Grönlund, Christer
Azmat, Shoaib
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s00521-022-07419-7
- URN
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urn:nbn:de:101:1-2022080223065151732728
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:26 MESZ
Datenpartner
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Beteiligte
- Mubashar, Mehreen
- Ali, Hazrat
- Grönlund, Christer
- Azmat, Shoaib
- SpringerLink (Online service)
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