Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation
–Neural Information Processing Systems
V olume-wise labeling in 3D medical images is a time-consuming task that requires expertise. As a result, there is growing interest in using semi-supervised learning (SSL) techniques to train models with limited labeled data.
Neural Information Processing Systems
Feb-18-2026, 21:55:22 GMT
- Country:
- Asia > China
- Guangdong Province > Shenzhen (0.04)
- Hong Kong (0.04)
- South America > Peru
- Lima Department > Lima Province > Lima (0.04)
- Asia > China
- Industry:
- Health & Medicine
- Diagnostic Medicine > Imaging (1.00)
- Therapeutic Area (1.00)
- Health & Medicine