About team SSL
● Mission:
To develop robust semi-supervised segmentation frameworks for limited labeled data scenarios
● Scope:
Medical image segmentation under annotation scarcity with broader vision applicability
● Goal:
To develop practical SSL-based segmentation systems for clinical AI adoption and real-world environments
Available internship topics
● Semi-supervised segmentation with limited labels and consistency-based learning
● Large-scale dataset curation and preprocessing for visual learning
Our research topics
Semi-supervised Image Segmentation with Pseudo-label Refinement
● Prompt-Guided Reliable Pseudo-Labeling for Semi-Supervised Segmentation
Semi-supervised Image Segmentation for Domain Generalization
● Domain-Generalizable Segmentation via Map Correction Module