Correction: DCAU-Net: dense convolutional attention U-Net for segmentation of intracranial aneurysm images
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2524-4442
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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Correction: DCAU-Net: dense convolutional attention U-Net for segmentation of intracranial aneurysm images ; volume:5 ; number:1 ; day:8 ; month:5 ; year:2022 ; pages:1-2 ; date:12.2022
Visual computing for industry, biomedicine, and art ; 5, Heft 1 (8.5.2022), 1-2, 12.2022
- Urheber
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Yuan, Wenwen
Peng, Yanjun
Guo, Yanfei
Ren, Yande
Xue, Qianwen
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1186/s42492-022-00110-7
- URN
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urn:nbn:de:101:1-2022071521572868946684
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:29 MESZ
Datenpartner
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Beteiligte
- Yuan, Wenwen
- Peng, Yanjun
- Guo, Yanfei
- Ren, Yande
- Xue, Qianwen
- SpringerLink (Online service)
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Usage of 3D U-net Convolutional Neural Network for the inspection of aerospace components