https://vegfr-receptor.com/ind....ex.php/spatial-submi
Methods The proposed strategy is investigated on entire body [18F]FDG-PET information using a Generative Adversarial Networks (GAN) deep mastering framework. It's trained to generate pseudo CT images (CTGAN) based on paired education data of non-attenuation corrected PET information (PETNAC) and corresponding CT data. Generated pseudo CTs are then used for subsequent animal AC. A hundred data units of whole body PETNAC and correspondingry PET measurement reliability. Additional
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