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.

搜集汇总

背景与挑战

背景概述

该数据集包含COVID-19患者和未感染者的CT扫描数据及分割掩码，用于支持医学影像分析研究。数据集已获德黑兰医科大学伦理批准，并提供了公开的代码库和引用文献，便于研究人员进行AI模型开发和分割任务验证。