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.CV2024
SAM-Swin: SAM-Driven Dual-Swin Transformers with Adaptive Lesion Enhancement for Laryngo-Pharyngeal Tumor Detection
Jia Wei, Yun Li, Xiaomao Fan +4
Laryngo-pharyngeal cancer (LPC) is a highly lethal malignancy in the head and neck region. Recent advancements in tumor detection, particularly through dual-branch network architec…