3D Automatic Segmentation of Aortic Computed Tomography Angiography Combining Multi-View 2D Convolutional Neural Networks

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1869-4098

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: 3D Automatic Segmentation of Aortic Computed Tomography Angiography Combining Multi-View 2D Convolutional Neural Networks ; volume:11 ; number:5 ; day:11 ; month:8 ; year:2020 ; pages:576-586 ; date:10.2020
Cardiovascular engineering and technology ; 11, Heft 5 (11.8.2020), 576-586, 10.2020

Creator: Fantazzini, Alice
Esposito, Mario
Finotello, Alice
Auricchio, Ferdinando
Pane, Bianca
Basso, Curzio
Spinella, Giovanni
Conti, Michele

Contributor: SpringerLink (Online service)

DOI: 10.1007/s13239-020-00481-z

URN: urn:nbn:de:101:1-2020111122573421722469

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

Last update: 15.08.2025, 7:34 AM CEST

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Fantazzini, Alice
Esposito, Mario
Finotello, Alice
Auricchio, Ferdinando
Pane, Bianca
Basso, Curzio
Spinella, Giovanni
Conti, Michele
SpringerLink (Online service)

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3D Automatic Segmentation of Aortic Computed Tomography Angiography Combining Multi-View 2D Convolutional Neural Networks

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