39 citations · 41 across the 5 of their papers we have counts for
5 papers
EndoVLM: An Endoscopy Vision-Language Pre-training Model via Anatomy-Guided Sparsity and Progressive Alignment
Zhenyu Yi, Jianwei Xu, Yue Hu +6
The development of foundation models (FMs) is crucial for advancing endoscopic image analysis. However, existing endoscopy FMs mainly rely on self-supervised learning from uni-moda…
E-MRL: Cross-view Aligned Evidence-driven Multimodal Reinforcement Learning for Reliable 3D Tumor Analysis
Sijing Li, Zhongwei Qiu, Zhuoya Wang +6
While Vision-Language Models (VLMs) show great promise in volumetric medical report generation, they frequently suffer from visual hallucinations and a lack of grounding in 3D CT d…
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…
Real-time automatic polyp detection in colonoscopy using feature enhancement module and spatiotemporal similarity correlation unit
Jianwei Xu, Ran Zhao, Yizhou Yu +5
Automatic detection of polyps is challenging because different polyps vary greatly, while the changes between polyps and their analogues are small. The state-of-the-art methods are…
Self-Adaptive Transfer Learning for Multicenter Glaucoma Classification in Fundus Retina Images
Yiming Bao, Jun Wang, Tong Li +4
The early diagnosis and screening of glaucoma are important for patients to receive treatment in time and maintain eyesight. Nowadays, deep learning (DL) based models have been suc…