MideficsDataset

MideficsDataset is a dataset of conversations on radiology and skin cancer images. The dataset is intended to be used for training and testing Medical Visual Question Answering (VQA) systems.

The dataset is built from [MURA](https://arxiv.org/abs/1712.06957), [ISIC](https://www.isic-archive.com/) and [ROCO](https://www.semanticscholar.org/paper/Radiology-Objects-in-COntext-(ROCO)%3A-A-Multimodal-Pelka-Koitka/a564fabf130ff6e2742cfba90c7a4018937d764d) which are free open-access online datasets of medical images.
The conversations were generated using GPT-3.5-turbo based on metadata associated to each image.

MideficsDataset 是一个面向放射学与皮肤癌影像的对话数据集，该数据集旨在用于训练与测试医学视觉问答（Medical Visual Question Answering, VQA）系统。
该数据集构建自MURA、ISIC与ROCO这三类免费开源的在线医学影像数据集，其官方链接分别为[MURA](https://arxiv.org/abs/1712.06957)、[ISIC](https://www.isic-archive.com/)以及[ROCO](https://www.semanticscholar.org/paper/Radiology-Objects-in-COntext-(ROCO)%3A-A-Multimodal-Pelka-Koitka/a564fabf130ff6e2742cfba90c7a4018937d764d)。
所有对话均基于每张影像附带的元数据，由GPT-3.5-turbo生成。

搜集汇总

背景与挑战

背景概述

MideficsDataset是一个用于医学视觉问答系统训练和测试的数据集，专注于放射学和皮肤癌图像的对话。该数据集基于MURA、ISIC和ROCO等开放医疗图像资源，利用GPT-3.5-turbo根据图像元数据生成对话内容。