Generative deep learning synthesizes high signal-to-noise ratio sensitivity maps for PET from low count direct normalization data
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An accurate and precise normalization procedure is essential to correct
for variations in detector efficiency in reconstructed positron emission tomography
(PET) images. Direct normalization is a conventional approach that requires a large
number o... ...
