Positron Emission Tomography
Positron Emission Tomography (PET) is a medical imaging technique used to visualize and quantify metabolic processes within the body, primarily for cancer diagnosis and treatment planning. Current research heavily focuses on improving image quality while minimizing radiation exposure, employing deep learning models like U-Nets, transformers, and diffusion models for tasks such as image reconstruction, lesion segmentation, and tracer conversion. These advancements aim to enhance diagnostic accuracy, streamline workflows, and ultimately improve patient care by providing more precise and efficient imaging data.
Papers
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