WSI-LLaVA is a multimodal large language model designed for Whole Slide Image (WSI) analysis, bridging the gap between gigapixel WSIs and textual descriptions. It introduces innovative methods and benchmarks for advancing pathology-focused AI research.
We are committed to transparency and open science. Currently, the following resources are available:
📄 Test Dataset: A subset… See the full description on the dataset page:
https://huggingface.co/datasets/LyuLucas/WSI-Bench.
