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1 Ergebnisse
1
Radiomics analysis enhances the diagnostic performance of C..:
Zahra Raisi-Estabragh
;
Carlos Martin-Isla
;
Louise Nissen
...
https://www.frontiersin.org/articles/10.3389/fcvm.2023.1141026/full. , 2023
Link:
https://doi.org/10.3389/fcvm.2023.1141026
RT Journal T1
Radiomics analysis enhances the diagnostic performance of CMR stress perfusion: a proof-of-concept study using the Dan-NICAD dataset
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:c361f87706484a03bff1ae17d36b2e44&Exemplar=1&LAN=DE A1 Zahra Raisi-Estabragh A1 Carlos Martin-Isla A1 Louise Nissen A1 Liliana Szabo A1 Victor M. Campello A1 Sergio Escalera A1 Simon Winther A1 Morten Bøttcher A1 Karim Lekadir A1 Steffen E. Petersen PB Frontiers Media S.A. YR 2023 K1 radiomics K1 Dan-NICAD K1 CMR (cardiovascular magnetic resonance) K1 stress perfusion cardiac MRI K1 machine learning (ML) K1 Diseases of the circulatory (Cardiovascular) system K1 RC666-701 JF https://www.frontiersin.org/articles/10.3389/fcvm.2023.1141026/full LK http://dx.doi.org/https://doi.org/10.3389/fcvm.2023.1141026 DO https://doi.org/10.3389/fcvm.2023.1141026 SF ELIB - SuUB Bremen
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