Deep learning approach using SPECT-to-PET translation for attenuation correction in CT-less myocardial perfusion SPECT imaging
Objective Deep learning approaches have attracted attention for improving the scoring accuracy in computed tomography-less single photon emission computed tomography (SPECT). In this study, we proposed a novel deep learning approach referring to positron emission tomography (PET). The aims of this s...
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Veröffentlicht in: | Annals of nuclear medicine 2024-03, Vol.38 (3), p.199-209 |
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Sprache: | eng |
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