A generalizable 3D framework and model for self-supervised learning in medical imaging
DGX agentarXiv:2501.11755v2 Announce Type: replace-cross Abstract: Current self-supervised learning methods for 3D medical imaging rely on simple pretext formulations and organ- or modality-specific datasets,