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1 Ergebnisse
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Mortality Prediction of COVID-19 Patients Using Radiomic an..:
Iori M
;
Di Castelnuovo C
;
Verzellesi L
...
info:eu-repo/semantics/altIdentifier/wos/WOS:000786892800001. , 2022
Link:
http://hdl.handle.net/11380/1280531
RT Journal T1 <Title>Mortality Prediction of COVID-19 Patients Using Radiomic and Neural Network Features Extracted from a Wide Chest X-ray Sample Size: A Robust Approach for Different Medical Imbalanced Scenarios</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftunivmodena:oai:iris.unimore.it:11380_1280531&Exemplar=1&LAN=DE A1 Iori M A1 Di Castelnuovo C A1 Verzellesi L A1 Meglioli G A1 Lippolis D. G A1 Nitrosi A A1 Monelli F A1 Besutti G A1 Trojani V A1 Bertolini M A1 Botti A A1 Castellani G A1 Remondini D A1 Sghedoni R A1 Croci S A1 Salvarani C YR 2022 K1 COVID-19 K1 machine learning K1 radiomic K1 under-sampling K1 X-ray radiography JF info:eu-repo/semantics/altIdentifier/wos/WOS:000786892800001 LK http://hdl.handle.net/11380/1280531 DO http://hdl.handle.net/11380/1280531 SF ELIB - SuUB Bremen
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