Repeatability and reproducibility of deep-learning-based liver volume and Couinaud segment volume measurement tool
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2366-0058
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Repeatability and reproducibility of deep-learning-based liver volume and Couinaud segment volume measurement tool ; day:4 ; month:10 ; year:2021 ; pages:1-9
Abdominal radiology ; (4.10.2021), 1-9
- Creator
-
Mojtahed, Amirkasra
Núñez, Luis
Connell, John
Fichera, Alessandro
Nicholls, Rowan
Barone, Angela
Marieiro, Mariana
Puddu, Anthony
Arya, Zobair
Ferreira, Carlos
Ridgway, Ged
Kelly, Matt
Lamb, Hildo J.
Caseiro-Alves, Felipe
Brady, J. Michael
Banerjee, Rajarshi
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s00261-021-03262-x
- URN
-
urn:nbn:de:101:1-2021122120335419908299
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:28 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Mojtahed, Amirkasra
- Núñez, Luis
- Connell, John
- Fichera, Alessandro
- Nicholls, Rowan
- Barone, Angela
- Marieiro, Mariana
- Puddu, Anthony
- Arya, Zobair
- Ferreira, Carlos
- Ridgway, Ged
- Kelly, Matt
- Lamb, Hildo J.
- Caseiro-Alves, Felipe
- Brady, J. Michael
- Banerjee, Rajarshi
- SpringerLink (Online service)
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