- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2045-2322
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Assessing radiomic feature robustness to interpolation in 18F-FDG PET imaging ; volume:9 ; number:1 ; day:4 ; month:7 ; year:2019 ; pages:1-10 ; date:12.2019
Scientific reports ; 9, Heft 1 (4.7.2019), 1-10, 12.2019
- Creator
-
Whybra, Philip
Parkinson, Craig
Foley, Kieran
Staffurth, John
Spezi, Emiliano
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-019-46030-0
- URN
-
urn:nbn:de:101:1-2019102313201198521978
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:23 AM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Whybra, Philip
- Parkinson, Craig
- Foley, Kieran
- Staffurth, John
- Spezi, Emiliano
- SpringerLink (Online service)
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Radiomic analysis for predicting prognosis of colorectal cancer from preoperative 18F-FDG PET/CT
Robustness of magnetic resonance radiomic features to pixel size resampling and interpolation in patients with cervical cancer
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Machine learning approach using 18F-FDG-PET-radiomic features and the visibility of right ventricle 18F-FDG uptake for predicting clinical events in patients with cardiac sarcoidosis
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