A machine learning-based approach to directly compare the diagnostic accuracy of myocardial perfusion imaging by conventional and cadmium-zinc telluride SPECT
Titel:
A machine learning-based approach to directly compare the diagnostic accuracy of myocardial perfusion imaging by conventional and cadmium-zinc telluride SPECT
Auteur:
Cantoni, Valeria Green, Roberta Ricciardi, Carlo Assante, Roberta Zampella, Emilia Nappi, Carmela Gaudieri, Valeria Mannarino, Teresa Genova, Andrea De Simini, Giovanni Giordano, Alessia D’Antonio, Adriana Acampa, Wanda Petretta, Mario Cuocolo, Alberto
Verschenen in:
Journal of nuclear cardiology
Paginering:
Jaargang 29 () nr. 1 pagina's 46-55
Jaar:
2022
Inhoud:
Uitgever:
American Society of Nuclear Cardiology. Published by ELSEVIER INC. All rights reserved.