3 papers
cs.CV2026
Ultrasound-CLIP: Semantic-Aware Contrastive Pre-training for Ultrasound Image-Text Understanding
Jiayun Jin, Haolong Chai, Xueying Huang +7
Ultrasound imaging is widely used in clinical diagnostics due to its real-time capability and radiation-free nature. However, existing vision-language pre-training models, such as…
cs.CV2026
Paired Image Generation with Diffusion-Guided Diffusion Models
Haoxuan Zhang, Wenju Cui, Yuzhu Cao +4
The segmentation of mass lesions in digital breast tomosynthesis (DBT) images is very significant for the early screening of breast cancer. However, the high-density breast tissue…
cs.CV2025
RAIL: Region-Aware Instructive Learning for Semi-Supervised Tooth Segmentation in CBCT
Chuyu Zhao, Hao Huang, Jiashuo Guo +4
Semi-supervised learning has become a compelling approach for 3D tooth segmentation from CBCT scans, where labeled data is minimal. However, existing methods still face two persist…