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A machine learning-based approach to directly compare the diagnostic accuracy of myocardial perfusion imaging by conventional and cadmium-zinc telluride SPECT by Cantoni, Valeria; Green, Roberta; Ricciardi, Carlo; Assante, Roberta; Zampella, Emilia; Nappi, Carmela; Gaudieri, Valeria; Mannarino, Teresa; Genova, Andrea; De Simini, Giovanni; Giordano, Alessia; DâAntonio, Adriana; Acampa, Wanda; Petretta, Mario; Cuocolo, Alberto is a Medicine article available to read on EtoBox.

It is typically read by researchers, students, and practitioners in Medicine.

Author
Cantoni, Valeria; Green, Roberta; Ricciardi, Carlo; Assante, Roberta; Zampella, Emilia; Nappi, Carmela; Gaudieri, Valeria; Mannarino, Teresa; Genova, Andrea; De Simini, Giovanni; Giordano, Alessia; DâAntonio, Adriana; Acampa, Wanda; Petretta, Mario; Cuocolo, Alberto
Publisher
Springer; Springer-Verlag; Springer New York LLC; Springer Science and Business Media LLC; Society for Mining, Metallurgy and Exploration Inc. (ISSN 1071-3581)
Published
2020
Field
Medicine (Health Sciences)

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