论文标题
HRCTCOV19-高分辨率的胸部CT扫描图像数据集，用于COVID-19诊断和分化
HRCTCov19 -- A High-Resolution Chest CT Scan Image Dataset for COVID-19 Diagnosis and Differentiation
论文作者
论文摘要
简介：在Covid-19大流行期间，计算机断层扫描（CT）是一种诊断Covid-19患者的流行方法。 HRCT（高分辨率计算机断层扫描）是一种计算机断层扫描的一种形式，它使用高级方法来改善图像分辨率。由于隐私问题，很难公开访问COVID-19 CT图像数据集，这阻碍了基于CT图像的AI驱动的COVID-19诊断算法的研究和开发。数据说明：为了解决此问题，我们引入了HRCTCOV19，这是一种新的Covid-19高分辨率胸部CT扫描图像数据集，不仅包括Covid-19的Covid-19案例玻璃不透明度（GGO），疯狂的铺路和空气空间整合，而且还包括COVID COVID-COVID9的CT图像。 HRCTCOV19数据集（包括切片级别和患者级标签）有可能帮助COVID-19研究，特别是使用人工智能算法，机器学习和深度学习方法进行诊断和分化。该数据集可通过网络访问：http：//databiox.com，包括来自395例具有四个标签的患者的181,106张胸部HRCT图像：GGO，疯狂的铺路，空间空间合并和负面。关键词：Covid-19，CT扫描，计算机断层扫描，胸部图像，数据集，医学成像
Introduction: During the COVID-19 pandemic, computed tomography (CT) was a popular method for diagnosing COVID-19 patients. HRCT (High-Resolution Computed Tomography) is a form of computed tomography that uses advanced methods to improve image resolution. Publicly accessible COVID-19 CT image datasets are very difficult to come by due to privacy concerns, which impedes the study and development of AI-powered COVID-19 diagnostic algorithms based on CT images. Data description: To address this problem, we have introduced HRCTCov19, a new COVID-19 high-resolution chest CT scan image dataset that includes not only COVID-19 cases of Ground Glass Opacity (GGO), Crazy Paving, and Air Space Consolidation but also CT images of cases with negative COVID-19. The HRCTCov19 dataset, which includes slice-level, and patient-level labels, has the potential to aid COVID-19 research, especially for diagnosis and differentiation using artificial intelligence algorithms, machine learning, and deep learning methods. This dataset is accessible through the web at: http://databiox.com and includes 181,106 chest HRCT images from 395 patients with four labels: GGO, Crazy Paving, Air Space Consolidation, and Negative. Keywords: COVID-19, CT scan, Computed Tomography, Chest Image, Dataset, Medical Imaging
