Original Article
Diagnostic performance of a novel deep learning attenuation correction software for MPI using a cardio dedicated CZT camera. Experience in the clinical practice
Rendimiento diagnóstico de un nuevo software de aprendizaje profundo para corrección de atenuación en la imagen de perfusión miocárdica utilizando una cámara CZT cardio dedicada. Experiencia en la práctica clínica
Miguel Ochoa-Figueroaa,b,c,
, Carlos Valera-Soriad, Christos Pagonisd, Marcus Ressnere, Pernilla Norberge, Veronica Sanchez-Rodrigueza,b, Jeronimo Frias-Rosef, Elin Goodc,d, Anette Davidssona
Corresponding author
a Department of Clinical Physiology in Linköping, and Department of Health, Medicine and Caring Sciences, Linköping University, Sweden
b Department of Radiology in Linköping, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
c Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
d Department of Cardiology in Linköping, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
e Department of Medical Physics, Linköping University Hospital, Linköping, Sweden
f Department of Pathology in Linköping, and Department of Health, Medicine and Caring Sciences, Linköping University, Sweden
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