Developing Foundation Models for Universal Segmentation from 3D Whole-Body Positron Emission Tomography

Abstract excerpt

<title>Abstract</title> <p>Positron emission tomography (PET) is a key nuclear medicine imaging modality that visualizes radiotracer distributions to quantify in vivo physiological and metabolic processes, playing an irreplaceable role in disease management. Despite its clinical importance, the development of deep learning models for quantitative PET image analysis remains severely limited, driven by both the inh...

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• Biomarkers, Tumor
• Brain Neoplasms
• Deep Learning
• Glioma
• Magnetic Resonance Imaging
• Mutation
• Radiomics and Machine Learning in Medical Imaging
• Texas

Identifiers and source

Literature Corpus work

beefe1ea-e7d8-5799-a5f5-0530772a2565

DOI

10.21203/rs.3.rs-9122255/v1