Imaging From Classification to Cross-Modal Understanding: Leveraging Vision-Language Models for Fine-Grained Renal Pathology
Zhen-Hao Guo, Rachit Saluja, Tian-Yu Shi et al.
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Preprint
Oct 2026
PathLang: A Language-Centered Benchmark for Vision-Language Models in Computational Pathology
Pathology vision-language models (VLMs) have shown strong visual perception ability, but their robustness in the language domain remains poorly characterized. Existing pathology VLM benchmarks largely rely on canonical closed-set prompts or perturb only generic templates, treating language as a fixed evaluation compone...
Fang-Qi Cheng, Kuo Gong, Shan Liu et al.
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