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Found 2 papers, 1 papers with code
Label-efficient Multi-organ Segmentation Method with Diffusion Model
In this study, we present a label-efficient learning approach using a pre-trained diffusion model for multi-organ segmentation tasks in CT images.
3D Cross-Pseudo Supervision (3D-CPS): A semi-supervised nnU-Net architecture for abdominal organ segmentation
Large curated datasets are necessary, but annotating medical images is a time-consuming, laborious, and expensive process.
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