Automated Segmentation of Liver and Liver Tumors with SwinUNETR and UNET Neural Networks on 18F-FDG PET/CT
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Objectives: To develop and evaluate automated segmentation models for the liver and hepatic tumors on 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) using SwinUNETR and residual UNET arch... ...
