医学影像三分类数据集-新冠肺炎 X 光片数据集

本数据集包含219例COVID-19阳性、1341例正常和1345例病毒性肺炎的胸部X光图像，共计2905张影像，用于训练和评估医学影像三分类模型。数据来源于公开数据库及国际出版物，涵盖意大利SIRM等机构提供的真实临床影像。数据集具有类别均衡、来源多样、标注清晰等特点，适用于新冠肺炎智能诊断、医疗大模型训练等场景，助力AI辅助诊疗研究。使用请引用指定两篇IEEE论文。

This dataset comprises 219 COVID-19 positive, 1341 normal, and 1345 viral pneumonia chest X-ray images, with a total of 2905 images, intended for training and evaluating medical image three-class classification models. It is sourced from public databases and international publications, including real clinical chest radiographs provided by institutions such as Italy's SIRM. Characterized by class-balanced categories, diverse data sources, and clear annotations, this dataset is applicable to scenarios including intelligent COVID-19 diagnosis, training of medical large language models (LLMs), and other related tasks, and promotes AI-assisted diagnosis and treatment research. Please cite the two specified IEEE papers when using this dataset.

搜集汇总

背景与挑战

背景概述

该数据集包含219例COVID-19阳性、1341例正常和1345例病毒性肺炎的胸部X光图像，共计2905张影像，用于训练和评估医学影像三分类模型。数据来源于公开数据库及国际出版物，涵盖意大利SIRM等机构提供的真实临床影像。