4 papers
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…
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…
VisionLLM-based Multimodal Fusion Network for Glottic Carcinoma Early Detection
Zhaohui Jin, Yi Shuai, Yongcheng Li +4
The early detection of glottic carcinoma is critical for improving patient outcomes, as it enables timely intervention, preserves vocal function, and significantly reduces the risk…
Stain-aware Domain Alignment for Imbalance Blood Cell Classification
Yongcheng Li, Lingcong Cai, Ying Lu +6
Blood cell identification is critical for hematological analysis as it aids physicians in diagnosing various blood-related diseases. In real-world scenarios, blood cell image datas…