Indian-COVID-19 CT

Indian-COVID-19 CT数据集是由国际信息技术研究所创建，包含来自印度288名COVID-19患者的12096张胸部CT图像。该数据集旨在解决机器学习模型在处理外部数据集时的一般化问题，特别是在COVID-19诊断领域。数据集的创建过程涉及从Gandhi医院收集2020年4月至9月的患者数据，并将其转换为PNG格式。该数据集的应用领域主要集中在通过深度学习模型提高COVID-19诊断的准确性和可靠性，尤其是在临床环境中。

The Indian-COVID-19 CT Dataset was developed by the International Institute of Information Technology. It contains 12,096 chest CT images from 288 COVID-19 patients across India. This dataset is designed to address the generalization challenge of machine learning models when processing external datasets, specifically in the domain of COVID-19 diagnosis. The dataset was constructed by collecting patient medical data from Gandhi Hospital between April and September 2020, followed by converting the data into PNG format. Its core application scenarios focus on improving the accuracy and reliability of COVID-19 diagnosis via deep learning models, especially in clinical settings.