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A robust radiomic-based machine learning approach to detect..:
Francesca Lo Iacono
;
Riccardo Maragna
;
Gianluca Pontone
.
https://www.frontiersin.org/articles/10.3389/fradi.2023.1193046/full. , 2023
Link:
https://doi.org/10.3389/fradi.2023.1193046
RT Journal T1 <Title>A robust radiomic-based machine learning approach to detect cardiac amyloidosis using cardiac computed tomography</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:af472d33bdcb44d88b5eb94e2e578e99&Exemplar=1&LAN=DE A1 Francesca Lo Iacono A1 Riccardo Maragna A1 Gianluca Pontone A1 Valentina D. A. Corino PB Frontiers Media S.A. YR 2023 K1 cardiac amyloidosis K1 aortic stenosis K1 radiomics K1 radiomic feature stability K1 cardiac computed tomography K1 Medical physics. Medical radiology. Nuclear medicine K1 R895-920 JF https://www.frontiersin.org/articles/10.3389/fradi.2023.1193046/full LK http://dx.doi.org/https://doi.org/10.3389/fradi.2023.1193046 DO https://doi.org/10.3389/fradi.2023.1193046 SF ELIB - SuUB Bremen
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