Impact of training data composition on the generalizability of convolutional neural network aortic cross-section segmentation in four-dimensional magnetic resonance flow imaging

Manini, Chiara; Huellebrand, Markus; Walczak, Lars; Nordmeyer, Sarah; Jarmatz, Lina; Kuehne, Titus; Stern, Heiko; Meierhofer, Christian; Harloff, Andreas; Erley, Jennifer; Bannas, Peter; Kelle, Sebastian; Trauzeddel, Ralf Felix; Schulz-Menger, Jeanette; Hennemuth, Anja

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Impact of training data composition on the generalizability of convolutional neural network aortic cross-section segmentation in four-dimensional magnetic resonance flow imaging

Autor(en):

Manini, Chiara; Huellebrand, Markus; Walczak, Lars; Nordmeyer, Sarah; Jarmatz, Lina; Kuehne, Titus; Stern, Heiko; Meierhofer, Christian; Harloff, Andreas; Erley, Jennifer; Bannas, Peter; Kelle, Sebastian; Trauzeddel, Ralf Felix; Schulz-Menger, Jeanette; Hennemuth, Anja

Tübinger Autor(en):

Nordmeyer, Sarah

Erschienen in:

Journal of Cardiovascular Magnetic Resonance (2024), Bd. 26 (2), Article 101081

Verlagsangabe:

New York : Elsevier Science Inc

Sprache:

Englisch

Referenz zum Volltext:

http://dx.doi.org/10.1016/j.jocmr.2024.101081

ISSN:

1097-6647