Monkeypox Skin Images Dataset (MSID)

The latest outbreak of monkeypox has now become a source of concern for healthcare professionals throughout the world. It is essential to have an early diagnosis in order to slow down its rapid progression. For this purpose, we have created a new skin image-based dataset for the detection of monkeypox disease. This dataset consists of four classes: Monkeypox, Chickenpox, Measles, and Normal. All the image classes are collected from internet-based health website sources. The entire dataset has been developed by two students named Diponkor Bala and Md. Shamim Hossain of the Department of Computer Science and Engineering, Islamic University, Kushtia-7003, Bangladesh, and School of Computer Science and Technology, University of Science and Technology of China (USTC), Hefei, Anhui, 230026, China respectively.

当前最新暴发的猴痘疫情已引发全球医护人员的广泛关注。为延缓其快速传播态势，早期诊断至关重要。为此，我们构建了一款基于皮肤影像的新型猴痘疾病检测数据集。该数据集共包含四个类别：猴痘（Monkeypox）、水痘（Chickenpox）、麻疹（Measles）以及正常皮肤影像（Normal）。所有类别的影像均采集自互联网健康网站资源。本数据集由两名学生共同构建：分别为来自孟加拉国伊斯兰大学计算机科学与工程系（库什蒂亚-7003，孟加拉国）的Diponkor Bala，以及中国科学技术大学（USTC）计算机科学与技术学院（安徽省合肥市230026，中国）的Md. Shamim Hossain。

搜集汇总

背景与挑战

背景概述

该数据集是一个用于猴痘疾病检测的皮肤图像数据集，包含猴痘、水痘、麻疹和正常四类图像，所有图像均从互联网健康网站收集。数据集由孟加拉国伊斯兰大学和中国科学技术大学的两名学生创建，旨在通过图像分析辅助猴痘的早期诊断。