3 papers
cs.CV2026
Human-Inspired Asymmetric Collaboration for Dual-Student Semi-Supervised Medical Image Segmentation
Huiyi Ren, Ziming Fang, Jiaming Cai +2
Dual-student learning enriches predictive diversity in SSMIS by introducing a strongly augmented view alongside a weakly augmented view. Insufficient strong augmentation may homoge…
cs.CV2026
Text as Illumination: Spatial Contrastive Retinex Learning for Language-guided Medical Image Segmentation
Jian Shi, Cheng Zhen, Pingping Zhang +6
Language-guided Medical Image Segmentation (LMIS) has shown great potential to improve the delineation of anatomical structures and lesions by integrating clinical textual informat…
cs.CV2025
Frequency-enhanced Multi-granularity Context Network for Efficient Vertebrae Segmentation
Jian Shi, Tianqi You, Pingping Zhang +3
Automated and accurate segmentation of individual vertebra in 3D CT and MRI images is essential for various clinical applications. Due to the limitations of current imaging techniq…