PathVQA

Dataset Card for PathVQA Dataset Description PathVQA is a dataset of question-answer pairs on pathology images. The dataset is intended to be used for training and testing Medical Visual Question Answering (VQA) systems. The dataset includes both open-ended questions and binary "yes/no" questions. The dataset is built

Papers using PathVQA (8)

Wasserstein Equilibrium Decoding for Reliable Medical Visual Question Answering2026Dual Causal Inference: Integrating Backdoor Adjustment and Instrumental Variable Learning for Medical VQA2026Llada-medv: Exploring Large Language Diffusion Models For Biomedical Image Understanding2025How Far Have Medical Vision-language Models Come? A Comprehensive Benchmarking Study2025Medvqa-tree: A Multimodal Reasoning And Retrieval Framework For Sarcopenia Prediction2025Medxplain-vqa: Multi-component Explainable Medical Visual Question Answering2025Cotbox-ttt: Grounding Medical VQA With Visual Chain-of-thought Boxes During Test-time Training2025MedThink: Explaining Medical Visual Question Answering via Multimodal Decision-Making Rationale2024 · 2 cites