Assessing the Feasibility of Deep Learning-Based Attenuation Correction Using Photon Emission Data in 18F-FDG Images for Dedicated Head and Neck PET Scanners
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This study aimed to evaluate the use of deep learning techniques to produce measured attenuation-corrected (MAC) images from non-attenuation-corrected (NAC) F-FDG PET images, focusing on head and neck imaging.
Materials and Methods:
A Residual Net... ...
