Osteoarthritis Prediction

This is an open source data set from Kaggle. The original link is <a href="https://www.kaggle.com/datasets/farjanakabirsamanta/osteoarthritis-prediction?resource=download">IEEE DataPort</a>The dataset, provided by the University of Florida and the OAI organisation in September 2018, is 428MB in size and contains 5778 training samples, 1656 test samples and 826 validation samples. The dataset contains medical images of knees from various patients, including anteroposterior, lateral, and oblique X-ray images as well as magnetic resonance imaging (MRI) scans. Additionally, the dataset provides clinical features associated with each image, such as patient age, gender, pain level, inflammation indicators, etc.

本数据集为源自Kaggle的开源数据集，其原始链接为<a href="https://www.kaggle.com/datasets/farjanakabirsamanta/osteoarthritis-prediction?resource=download">IEEE DataPort</a>。本数据集由佛罗里达大学与OAI组织于2018年9月发布，总大小为428MB，包含5778个训练样本、1656个测试样本以及826个验证样本。数据集涵盖了多名患者的膝关节医学影像，包括前后位、侧位与斜位X线片，以及磁共振成像（MRI）扫描影像。此外，数据集还为每一张影像配套提供了对应的临床特征信息，例如患者年龄、性别、疼痛程度、炎症指标等。