6 papers · 1 filter
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…
Rethinking the Adaptation of Vision Foundation Models for Efficient Cell Segmentation
Qing Xu, Xiangjian He, Wenting Duan +2
Cell segmentation is critical for computational pathology and biomedical discovery. While recent Vision Foundation Models (VFMs) have demonstrated remarkable universal feature repr…
Cesarean Scar Defect Segmentation in Transvaginal Ultrasound Images: a Dataset and Benchmark
Yuan Tian, Yue Li, Wei Xia +10
Cesarean Scar Defect (CSD) is one of the most prevalent complications following cesarean delivery. Transvaginal ultrasonography is widely used for primary CSD screening. Accurate d…
XAttnRes: Cross-Stage Attention Residuals for Medical Image Segmentation
Xinyu Liu, Qing Xu, Zhen Chen
In the field of Large Language Models (LLMs), Attention Residuals have recently demonstrated that learned, selective aggregation over all preceding layer outputs can outperform fix…
CoMA: Complementary Masking and Hierarchical Dynamic Multi-Window Self-Attention in a Unified Pre-training Framework
Jiaxuan Li, Qing Xu, Xiangjian He +6
Masked Autoencoders (MAE) achieve self-supervised learning of image representations by randomly removing a portion of visual tokens and reconstructing the original image as a prete…
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…