PET Image

PET (positron emission tomography) image analysis is crucial for medical diagnosis, focusing on improving image quality and enabling accurate segmentation and anomaly detection. Current research employs various deep learning architectures, including U-Net variants and diffusion models (like DDPMs), often incorporating multimodal data (e.g., combining PET with MRI) to enhance performance and reduce reliance on extensive manual annotation. These advancements aim to improve diagnostic accuracy, potentially leading to better treatment planning and patient outcomes, while also exploring methods to reduce the cost and radiation exposure associated with PET scans.