7 papers
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…
GPF-Net: Gated Progressive Fusion Learning for Polyp Re-Identification
Suncheng Xiang, Xiaoyang Wang, Junjie Jiang +2
Colonoscopic Polyp Re-Identification aims to match the same polyp from a large gallery with images from different views taken using different cameras, which plays an important role…
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…
Colo-ReID: Discriminative Representation Embedding with Meta-learning for Colonoscopic Polyp Re-Identification
Suncheng Xiang, Chengfeng Zhou, Zhengjie Zhang +2
Colonoscopic Polyp Re-Identification aims to match the same polyp from a large gallery with images from different views taken using different cameras and plays an important role in…
Learning Collaborative Knowledge with Multimodal Representation for Polyp Re-Identification
Suncheng Xiang, Jiale Guan, Shilun Cai +2
Colonoscopic Polyp Re-Identification aims to match the same polyp from a large gallery with images from different views taken using different cameras, which plays an important role…