3 papers
eess.IV2025
Multimodal Medical Endoscopic Image Analysis via Progressive Disentangle-aware Contrastive Learning
Junhao Wu, Yun Li, Junhao Li +4
Accurate segmentation of laryngo-pharyngeal tumors is crucial for precise diagnosis and effective treatment planning. However, traditional single-modality imaging methods often fal…
cs.CV2025
Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation
Lingcong Cai, Yun Li, Xiaomao Fan +3
The segmentation of endoscopic images plays a vital role in computer-aided diagnosis and treatment. The advancements in deep learning have led to the employment of numerous models…
cs.CV2023
Rethinking Radiology Report Generation via Causal Inspired Counterfactual Augmentation
Xiao Song, Jiafan Liu, Yun Li +3
Radiology Report Generation (RRG) draws attention as a vision-and-language interaction of biomedical fields. Previous works inherited the ideology of traditional language generatio…