To achieve this goal, the first step is to create a visual question answering (VQA) dataset where the AI agent is presented with a pathology image together with ...

PMC-VQA is a large-scale medical visual question-answering dataset that contains 227k VQA pairs of 149k images that cover various modalities or diseases.

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 ...

PMC-VQA is a large-scale medical visual question-answering dataset, which contains 227k VQA pairs of 149k images that cover various modalities or diseases.

SLAKE is a bilingual English-Chinese dataset designed specifically for Medical Visual Question Answering (Med-VQA) systems, comprising 642 images and 14,028 ...

3 июн. 2023 г. · VQA-RAD is a dataset of question-answer pairs on radiology images. The dataset is intended to be used for training and testing Medical Visual ...

The PMC-VQA Dataset. Several examples of challenging questions and answers along with their respective images. To answer questions related to these images, the ...

17 мая 2023 г. · We establish a scalable pipeline to construct a large-scale medical visual question-answering dataset, named PMC-VQA, which contains 227k VQA ...

Kaggle is the world's largest data science community with powerful tools and resources to help you achieve your data science goals.

This survey presents an overview of the publicly available medical VQA datasets. •. This survey gives a comprehensive summary and discussion of the published ...