A multi-center whole-body FDG PET/CT foundation model with early fusion and masked autoencoding pretraining achieves label-efficient tumor segmentation on downstream tasks.
A simple framework for contrastive learning of visual representations,
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An Open Multi-Center Whole-Body FDG PET/CT Foundation Model for Tumor Segmentation
A multi-center whole-body FDG PET/CT foundation model with early fusion and masked autoencoding pretraining achieves label-efficient tumor segmentation on downstream tasks.