Automated abdominal adipose tissue segmentation and volume quantification on longitudinal MRI using 3D convolutional neural networks with multi-contrast inputs
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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Automated abdominal adipose tissue segmentation and volume quantification on longitudinal MRI using 3D convolutional neural networks with multi-contrast inputs ; day:1 ; month:2 ; year:2024 ; pages:1-16
Magnetic resonance materials in physics, biology and medicine ; (1.2.2024), 1-16
- Urheber
-
Kafali, Sevgi Gokce
Shih, Shu-Fu
Li, Xinzhou
Kim, Grace Hyun J.
Kelly, Tristan
Chowdhury, Shilpy
Loong, Spencer
Moretz, Jeremy
Barnes, Samuel R.
Li, Zhaoping
Wu, Holden H.
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1007/s10334-023-01146-3
- URN
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urn:nbn:de:101:1-2024041215385763828707
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:58 MESZ
Datenpartner
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Beteiligte
- Kafali, Sevgi Gokce
- Shih, Shu-Fu
- Li, Xinzhou
- Kim, Grace Hyun J.
- Kelly, Tristan
- Chowdhury, Shilpy
- Loong, Spencer
- Moretz, Jeremy
- Barnes, Samuel R.
- Li, Zhaoping
- Wu, Holden H.
- SpringerLink (Online service)
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