VQA-Med-2019 是一个专注于医学领域的视觉问答数据集,旨在通过图像内容分析来解答问题,无须额外的医学专业知识或领域内推理。它包含四个主要问题类别:影像模态(Modality)、成像平面(Plane)、器官系统(Organ System)以及异常情况(Abnormality)。这些问题按不同的难度级别设计,以适应多样的分类和文本生成方法。数据集共含...
Evaluated on the VQA-Med 2019 dataset, the proposed model achieved an overall classification accuracy of 0.639. The experimental results demonstrated that the proposed method has superior performance compared to existing methods on the VQA-Med 2019 dataset....
@inproceedings{aioz_mevf_miccai19, author={Binh D. Nguyen, Thanh-Toan Do, Binh X. Nguyen, Tuong Do, Erman Tjiputra, Quang D. Tran}, title={Overcoming Data Limitation in Medical Visual Question Answering}, booktitle = {MICCAI}, year={2019} } ...
【VQA文献阅读】VQA-Med: Overview of the Medical Visual Question Answering Task at ImageCLEF 2019,程序员大本营,技术文章内容聚合第一站。