3 papers
cs.CV2025
LapFM: A Laparoscopic Segmentation Foundation Model via Hierarchical Concept Evolving Pre-training
Qing Xu, Kun Yuan, Yuxiang Luo +4
Surgical segmentation is pivotal for scene understanding yet remains hindered by annotation scarcity and semantic inconsistency across diverse procedures. Existing approaches typic…
cs.CV2025
TM-UNet: Token-Memory Enhanced Sequential Modeling for Efficient Medical Image Segmentation
Yaxuan Jiao, Qing Xu, Yuxiang Luo +3
Medical image segmentation is essential for clinical diagnosis and treatment planning. Although transformer-based methods have achieved remarkable results, their high computational…
cs.CV2025
Co-Seg++: Mutual Prompt-Guided Collaborative Learning for Versatile Medical Segmentation
Qing Xu, Yuxiang Luo, Wenting Duan +1
Medical image analysis is critical yet challenged by the need of jointly segmenting organs or tissues, and numerous instances for anatomical structures and tumor microenvironment a…