COVID-19 & Normal CT Segmentation Dataset

This dataset includes CT data and segmentation masks from patients diagnosed with COVID-19, as well as data from subjects without the infection.

This study is approved under the ethical approval codes of IR.TUMS.IKHC.REC.1399.255 and IR.TUMS.VCR.REC.1399.488 at Tehran University of Medical Sciences.

The code for loading the dataset and running an AI model is available on:
https://github.com/SamanSotoudeh/COVID19-segmentation

Please use the following citations:

1- Arian, Arvin; Mehrabinejad, Mohammad-Mehdi; Zoorpaikar, Mostafa; Hasanzadeh, Navid; Sotoudeh-Paima, Saman; Kolahi, Shahriar; Gity, Masoumeh; Soltanian-Zadeh, "Accuracy of Artificial Intelligence CT Quantification in
Predicting COVID-19 Subjects’ Prognosis" PLoS ONE (2023).

2- Sotoudeh-Paima, Saman, et al. "A Multi-centric Evaluation of Deep Learning Models for Segmentation of COVID-19 Lung Lesions on Chest CT Scans." Iranian Journal of Radiology 19.4 (2022).

3- Hasanzadeh, Navid, et al. "Segmentation of COVID-19 Infections on CT: Comparison of four UNet-based networks." 2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME). IEEE, 2020.

本数据集包含确诊新型冠状病毒肺炎（COVID-19）患者的计算机断层扫描（CT）数据与分割掩码，同时收录了未感染人群的相关数据。

本研究已获得德黑兰医科大学伦理审查委员会批准，伦理批准编号为IR.TUMS.IKHC.REC.1399.255与IR.TUMS.VCR.REC.1399.488。

本数据集加载与人工智能（AI）模型运行代码已公开于：https://github.com/SamanSotoudeh/COVID19-segmentation

请引用以下文献：
1. Arian, Arvin; Mehrabinejad, Mohammad-Mehdi; Zoorpaikar, Mostafa; Hasanzadeh, Navid; Sotoudeh-Paima, Saman; Kolahi, Shahriar; Gity, Masoumeh; Soltanian-Zadeh. 《人工智能CT量化在预测COVID-19感染者预后中的准确性》. PLoS ONE, 2023.
2. Sotoudeh-Paima, Saman 等. 《胸部CT扫描中新型冠状病毒肺炎肺部病变分割的深度学习模型多中心评估》. 《伊朗放射学杂志》, 19(4), 2022.
3. Hasanzadeh, Navid 等. 《CT扫描中新型冠状病毒肺炎感染区域分割：4种基于U-Net的网络对比》. 2020年第27届全国暨第5届国际伊朗生物医学工程大会（ICBME）, IEEE, 2020.