Publications (17)
LeViT-UNet: Make Faster Encoders with Transformer for Medical Image Segmentation
Guoping Xu, Xingrong Wu, Xuan Zhang +1
Medical image segmentation plays an essential role in developing computer-assisted diagnosis and therapy systems, yet still faces many challenges. In the past few years, the popula…
DBF-Net: A Dual-Branch Network with Feature Fusion for Ultrasound Image Segmentation
Guoping Xu, Ximing Wu, Wentao Liao +3
Accurately segmenting lesions in ultrasound images is challenging due to the difficulty in distinguishing boundaries between lesions and surrounding tissues. While deep learning ha…
A SAM-guided and Match-based Semi-Supervised Segmentation Framework for Medical Imaging
Guoping Xu, Xiaoxue Qian, Hua Chieh Shao +3
This study introduces SAMatch, a SAM-guided Match-based framework for semi-supervised medical image segmentation, aimed at improving pseudo label quality in data-scarce scenarios.…
Segment Anything for Video: A Comprehensive Review of Video Object Segmentation and Tracking from Past to Future
Guoping Xu, Jayaram K. Udupa, Yajun Yu +4
Video Object Segmentation and Tracking (VOST) presents a complex yet critical challenge in computer vision, requiring robust integration of segmentation and tracking across tempora…
Adapting Segment Anything Model 3 for Concept-Driven Lesion Segmentation in Medical Images: An Experimental Study
Guoping Xu, Jayaram K. Udupa, Yubing Tong +5
Accurate lesion segmentation is essential in medical image analysis, yet most existing methods are designed for specific anatomical sites or imaging modalities, limiting their gene…
TSMS-SAM2: Multi-scale Temporal Sampling Augmentation and Memory-Splitting Pruning for Promptable Video Object Segmentation and Tracking in Surgical Scenarios
Guoping Xu, Hua-Chieh Shao, You Zhang
Promptable video object segmentation and tracking (VOST) has seen significant advances with the emergence of foundation models like Segment Anything Model 2 (SAM2); however, their…