2 citations · 4 across the 4 of their papers we have counts for
4 papers
Risk-Routed Implicit Boundary Refinement for Robust Ultrasound Image Segmentation
Jingguo Qu, Xinyang Han, Xiang Wang +8
Accurate boundary delineation in medical ultrasound (US) images remains challenging because of speckle noise, low contrast, acoustic shadowing, and acquisition variability. We prop…
Multiscale Switch for Semi-Supervised and Contrastive Learning in Medical Ultrasound Image Segmentation
Jingguo Qu, Xinyang Han, Yao Pu +8
Medical ultrasound image segmentation faces significant challenges due to limited labeled data and characteristic imaging artifacts including speckle noise and low-contrast boundar…
Adapting Vision-Language Foundation Model for Next Generation Medical Ultrasound Image Analysis
Jingguo Qu, Xinyang Han, Jia Ai +10
Vision-Language Foundation Models (VLFMs) exhibit remarkable generalization, yet their direct application to medical ultrasound is severely hindered by a profound modality gap. The…
The Application of Deep Learning for Lymph Node Segmentation: A Systematic Review
Jingguo Qu, Xinyang Han, Man-Lik Chui +8
Automatic lymph node segmentation is the cornerstone for advances in computer vision tasks for early detection and staging of cancer. Traditional segmentation methods are constrain…