5 papers · 1 filter
Trusted Multi-View Deep Learning Classification of Fetal Congenital Heart Disease with Feature-level and Decision-level Fusion
Tan Zhou, Shifa Yao, Suncheng Xiang +2
Congenital heart disease (CHD) refers to the abnormal anatomical structure caused by the abnormal development of the heart and great vessels during embryonic development. Tradition…
ST-ColoNet: Spatio-Temporal Colon Segment Recognition via Hybrid Attention and Edge-Guided Feature Learning
Crystal Cai, Ziyi Wang, Zhengjie Zhang +3
Colo-segment recognition in colonoscopy videos is a key requirement for many downstream tasks, but existing automatic recognition methods only use colonoscopy images without fully…
PhysSFI-Net: Physics-informed Geometric Learning of Skeletal and Facial Interactions for Orthognathic Surgical Outcome Prediction
Jiahao Bao, Huazhen Liu, Yu Zhuang +12
Orthognathic surgery repositions jaw bones to restore occlusion and enhance facial aesthetics. Accurate simulation of postoperative facial morphology is essential for preoperative…
LDP: Parameter-Efficient Fine-Tuning of Multimodal LLM for Medical Report Generation
Tianyu Zhou, Junyi Tang, Zehui Li +2
Colonoscopic polyp diagnosis is pivotal for early colorectal cancer detection, yet traditional automated reporting suffers from inconsistencies and hallucinations due to the scarci…
Generalizing monocular colonoscopy image depth estimation by uncertainty-based global and local fusion network
Sijia Du, Chengfeng Zhou, Suncheng Xiang +2
Objective: Depth estimation is crucial for endoscopic navigation and manipulation, but obtaining ground-truth depth maps in real clinical scenarios, such as the colon, is challengi…