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Deep learning for synthetic PET imaging: a systematic mapping review of techniques, metrics, and clinical relevance
1
Zitationen
8
Autoren
2026
Jahr
Abstract
Deep learning can create full-dose PET images with less radiation exposure. Neurological applications dominate synthetic PET research, maintaining essential diagnostic detail. Challenges include limited datasets and variability in tracer uptake, necessitating further advancements.
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