Erjian Guo

DiN: Diffusion Model for Robust Medical VQA with Semantic Noisy Labels

Medical Visual Question Answering (Med-VQA) systems benefit the interpretation of medical images containing critical clinical information. However, the challenge of noisy labels and limited high-quality datasets remains underexplored. To address this, we establish the first benchmark for noisy label…