3 papers
cs.CV2025
Boosting Pathology Foundation Models via Few-shot Prompt-tuning for Rare Cancer Subtyping
Dexuan He, Xiao Zhou, Wenbin Guan +11
Rare cancers comprise 20-25% of all malignancies but face major diagnostic challenges due to limited expert availability-especially in pediatric oncology, where they represent over…
cs.CV2025
RadIR: A Scalable Framework for Multi-Grained Medical Image Retrieval via Radiology Report Mining
Tengfei Zhang, Ziheng Zhao, Chaoyi Wu +4
Developing advanced medical imaging retrieval systems is challenging due to the varying definitions of `similar images' across different medical contexts. This challenge is compoun…
eess.IV2024
Knowledge-enhanced Pretraining for Vision-language Pathology Foundation Model on Cancer Diagnosis
Xiao Zhou, Luoyi Sun, Dexuan He +10
Vision-language foundation models have shown great promise in computational pathology but remain primarily data-driven, lacking explicit integration of medical knowledge. We introd…