COVID-CTset

This is a part of the COVID-CTset dataset for testing and training the network. This dataset contains 12058 CT slices. It was gathered from Negin medical center that is located at Sari in Iran. This medical center uses a SOMATOM Scope model and syngo CT VC30-easyIQ software version for capturing and visualizing the lung HRCT radiology images from the patients. The format of the exported radiology images was 16-bit grayscale DICOM format with 512*512 pixels resolution. The format of images are TIFF, which holds the same 16-bit grayscale data but does not conclude the patients' private information. Thanks to Rahimzadeh et al. for their work. The full dataset can be downloaded from this website: https://github.com/mr7495/COVID-CTset.

本数据集为COVID-CTset数据集的子集，用于神经网络的测试与训练。该数据集共包含12058张CT切片，采集自伊朗萨里市的内金（Negin）医学中心。该中心采用SOMATOM Scope型号CT设备与syngo CT VC30-easyIQ软件版本，用于采集并可视化患者肺部高分辨率计算机断层扫描（High Resolution Computed Tomography，HRCT）放射影像。导出的放射影像格式为16位灰度DICOM格式，分辨率为512×512像素。另有TIFF格式的影像副本，其保留了与DICOM格式一致的16位灰度数据，但不包含患者隐私信息。感谢Rahimzadeh等人的相关研究工作。完整数据集可通过以下网址下载：https://github.com/mr7495/COVID-CTset。