4 papers
Rapid Bone Scintigraphy Enhancement via Semantic Prior Distillation from Segment Anything Model
Pengchen Liang, Leijun Shi, Huiping Yao +9
Rapid bone scintigraphy is crucial for diagnosing skeletal disorders and detecting tumor metastases in children, as it shortens scan duration and reduces discomfort. However, accel…
Task-Specific Knowledge Distillation from the Vision Foundation Model for Enhanced Medical Image Segmentation
Pengchen Liang, Haishan Huang, Bin Pu +7
Large-scale pre-trained models, such as Vision Foundation Models (VFMs), have demonstrated impressive performance across various downstream tasks by transferring generalized knowle…
Vision Foundation Models in Medical Image Analysis: Advances and Challenges
Pengchen Liang, Bin Pu, Haishan Huang +4
The rapid development of Vision Foundation Models (VFMs), particularly Vision Transformers (ViT) and Segment Anything Model (SAM), has sparked significant advances in the field of…
Topology-Aware Wavelet Mamba for Airway Structure Segmentation in Postoperative Recurrent Nasopharyngeal Carcinoma CT Scans
Haishan Huang, Pengchen Liang, Naier Lin +6
Nasopharyngeal carcinoma (NPC) patients often undergo radiotherapy and chemotherapy, which can lead to postoperative complications such as limited mouth opening and joint stiffness…