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1 Ergebnisse
1
Radiomics for Predicting Oxygen Necessity in COVID-19 Patie..:
, In:
2023 IEEE 23rd International Conference on Bioinformatics and Bioengineering (BIBE)
,
Ravazio, Rafaela
;
Mattjie, Christian
;
De Moura, Luis Vinicius
... - p. 272-276 , 2023
Link:
https://doi.org/10.1109/BIBE60311.2023.00051
RT T1
2023 IEEE 23rd International Conference on Bioinformatics and Bioengineering (BIBE)
: T1
Radiomics for Predicting Oxygen Necessity in COVID-19 Patients Using Longitudinal Lung Computed Tomography
UL https://suche.suub.uni-bremen.de/peid=ieee-10431834&Exemplar=1&LAN=DE A1 Ravazio, Rafaela A1 Mattjie, Christian A1 De Moura, Luis Vinicius A1 Kupssinsku, Lucas A1 Barros, Rodrigo C. A1 Machado, Denise Cantarelli A1 Da Silva, Ana Maria Marques YR 2023 SN 2471-7819 K1 COVID-19 K1 Computed tomography K1 Lung K1 Predictive models K1 Feature extraction K1 Data models K1 Radiomics K1 Computed Tomography K1 Machine Learning SP 272 OP 276 LK http://dx.doi.org/https://doi.org/10.1109/BIBE60311.2023.00051 DO https://doi.org/10.1109/BIBE60311.2023.00051 SF ELIB - SuUB Bremen
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