DCAU-Net: dense convolutional attention U-Net for segmentation of intracranial aneurysm images

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 2524-4442

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: DCAU-Net: dense convolutional attention U-Net for segmentation of intracranial aneurysm images ; volume:5 ; number:1 ; day:28 ; month:3 ; year:2022 ; pages:1-18 ; date:12.2022
Visual computing for industry, biomedicine, and art ; 5, Heft 1 (28.3.2022), 1-18, 12.2022

Creator: Yuan, Wenwen
Peng, Yanjun
Guo, Yanfei
Ren, Yande
Xue, Qianwen

Contributor: SpringerLink (Online service)

DOI: 10.1186/s42492-022-00105-4

URN: urn:nbn:de:101:1-2022072719210369565655

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

Last update: 15.08.2025, 7:24 AM CEST

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Yuan, Wenwen
Peng, Yanjun
Guo, Yanfei
Ren, Yande
Xue, Qianwen
SpringerLink (Online service)

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DCAU-Net: dense convolutional attention U-Net for segmentation of intracranial aneurysm images

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Other Objects (12)

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EIDU-Net: edge-preserved inception DenseGCN U-Net for LiDAR point cloud segmentation

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Correction: DCAU-Net: dense convolutional attention U-Net for segmentation of intracranial aneurysm images

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