HRCTCov19-一个高分辨率的胸部CT扫描图像数据集用于COVID-19诊断和区分
Iraj Abedi1, Mahsa Vali2, Bentolhoda Otroshi3
1Department of Medical Physics, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
BMC research notes
|January 23, 2024
概括
研究人员创建了HRCTCov19,这是一个用于COVID-19研究的高分辨率计算机断层扫描 (HRCT) 大数据集. 这一数据集有助于使用胸部HRCT图像开发用于COVID-19的AI诊断工具.
科学领域:
- 医疗成像医学成像
- 人工智能的人工智能
- 数据科学数据科学数据科学
背景情况:
- 计算机断层扫描 (CT) 对于COVID-19诊断至关重要.
- 高分辨率CT (HRCT) 提供了增强的图像细节.
- 由于隐私问题,有限的公共COVID-19CT数据集阻碍了AI算法开发.
研究的目的:
- 为COVID-19研究创建一个全面的高分辨率胸部CT扫描数据集.
- 为了促进AI驱动的COVID-19诊断工具的开发.
- 为机器学习和医学成像中的深度学习应用提供一个有价值的资源.
主要方法:
- 开发了HRCTCov19,一个新的COVID-19胸部HRCT图像的数据集.
- 包括各种各样的案例:地面玻璃不透明 (GGO),疯狂铺路,空中空间整合,以及负面的COVID-19扫描.
- 数据集包括395名患者的181,106张图像的切片级和患者级标签.
主要成果:
- 现在可以在http://databiox.com.com上公开访问HRCTCov19数据集.
- 该数据集包含大量标记的HRCT图像.
- 为人工智能驱动的COVID-19诊断和差异化提供了基础.
结论:
- 该HRCTCov19数据集解决了公共COVID-19CT成像数据的稀缺问题.
- 实现人工智能,机器学习和深度学习的先进研究,用于COVID-19检测.
- 支持使用高分辨率胸部CT扫描的诊断能力的进步.
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