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UniPro: Unified Multi-Mode Medical Image Segmentation from 2D Images to 3D Volumes via Propagation
Author1, Author2, Author3, Author4, Author5
segmentation3D imagingmedical imagingpropagation
2610.06938
Builder Relevance
1h ago80%
Abstract
UniPro presents a unified model for medical image segmentation that effectively bridges the gap between 2D and 3D segmentation workflows.
Reality Card
Core Claim
UniPro achieves strong performance across diverse segmentation settings by enabling annotation-efficient 3D segmentation from sparse 2D initialization.
Method / Result
Extensive experiments show that UniPro reduces slice-by-slice correction effort significantly.
Limitations
The model's reliance on specific reference-conditioned prediction mechanisms may limit its generalizability across all clinical scenarios.
Paper to code
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