6 papers
DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation
Jiaxuan Li, Qing Xu, Xiangjian He +4
Cross-modal alignment of visual and textual representations is fundamental to multimodal medical image understanding, yet remains hindered by uncertainty in both modalities under r…
FreqDINO: Frequency-Guided Adaptation for Generalized Boundary-Aware Ultrasound Image Segmentation
Yixuan Zhang, Qing Xu, Yue Li +6
Ultrasound image segmentation is pivotal for clinical diagnosis, yet challenged by speckle noise and imaging artifacts. Recently, DINOv3 has shown remarkable promise in medical ima…
SP-Det: Self-Prompted Dual-Text Fusion for Generalized Multi-Label Lesion Detection
Qing Xu, Yanqian Wang, Xiangjian Hea +5
Automated lesion detection in chest X-rays has demonstrated significant potential for improving clinical diagnosis by precisely localizing pathological abnormalities. While recent…
UniUltra: Interactive Parameter-Efficient SAM2 for Universal Ultrasound Segmentation
Yue Li, Qing Xu, Yixuan Zhang +8
The Segment Anything Model 2 (SAM2) demonstrates remarkable universal segmentation capabilities on natural images. However, its performance on ultrasound images is significantly de…
MambaVesselNet++: A Hybrid CNN-Mamba Architecture for Medical Image Segmentation
Qing Xu, Yanming Chen, Yue Li +4
Medical image segmentation plays an important role in computer-aided diagnosis. Traditional convolution-based U-shape segmentation architectures are usually limited by the local re…
HER-Seg: Holistically Efficient Segmentation for High-Resolution Medical Images
Qing Xu, Zhenye Lou, Chenxin Li +6
High-resolution segmentation is critical for precise disease diagnosis by extracting fine-grained morphological details. Existing hierarchical encoder-decoder frameworks have demon…