Pet Metric

PET (Positron Emission Tomography) image analysis is a rapidly evolving field focused on improving the accuracy and efficiency of medical diagnoses, particularly in oncology and neurology. Current research emphasizes developing advanced deep learning models, such as UNets and diffusion models, to address challenges like automated lesion segmentation across diverse datasets and scanners, improving image quality through denoising and reconstruction techniques, and even generating synthetic PET data for algorithm training and validation. These advancements promise to enhance diagnostic capabilities, streamline clinical workflows, and ultimately improve patient care by enabling more precise and timely diagnoses.