PET Dog

Research on PET (Positron Emission Tomography) imaging focuses on improving the accuracy and efficiency of medical image analysis, particularly for cancer detection and treatment planning. Current efforts leverage deep learning, employing architectures like UNet, Swin Transformer, and diffusion models, to enhance image denoising, lesion segmentation, and survival prediction from PET/CT scans, often incorporating multi-modal data fusion techniques. These advancements aim to improve diagnostic accuracy, personalize cancer treatment, and reduce the time and variability associated with manual image analysis, ultimately leading to better patient care.