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cs.CV2025
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…
cs.CV2024
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…