UniPro: Unified Multi-Mode Medical Image Segmentation from 2D Images to 3D Volumes via Propagation
cs.CV
Submitted: 2026-10-03
Updated: 2026-10-03
Code: https://github.com/bangwayne/UniPro
Sources
- RevSAM2: Prompt SAM2 for Medical Image Segmentation via Reverse-Propagation without Fine-tuning
- The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification
- SAM-Med2D
- Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)
- SegVol: Universal and Interactive Volumetric Medical Image Segmentation
- The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes
- nnInteractive: Redefining 3D Promptable Segmentation
- A co-evolving agentic AI system for medical imaging analysis
- MedSAM-Agent: Empowering Interactive Medical Image Segmentation with Multi-turn Agentic Reinforcement Learning
- MedSAM2: Segment Anything in 3D Medical Images and Videos
- SAM 2: Segment Anything in Images and Videos
- MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance
- Atlas is Your Perfect Context: One-Shot Customization for Generalizable Foundational Medical Image Segmentation
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