论文标题

带有地面真相图像和视觉特征的SARS-COV-2微观图像数据集

A SARS-CoV-2 Microscopic Image Dataset with Ground Truth Images and Visual Features

论文作者

Li, Chen, Zhang, Jiawei, Kulwa, Frank, Qi, Shouliang, Qi, Ziyu

论文摘要

SARS-COV-2具有广泛传播和快速传播速度的特征。为了分析其视觉信息,我们构建了一个带有48个电子显微镜图像的SARS-COV-2微观图像数据集(SC2-MID),还准备了他们的地面真相图像。此外,我们提取多个经典特征和新颖的深度学习特征,以描述SARS-COV-2的视觉信息。最后,证明可以提取和分析在电子显微镜下观察到的SARS-COV-2图像的视觉特征。

SARS-CoV-2 has characteristics of wide contagion and quick propagation velocity. To analyse the visual information of it, we build a SARS-CoV-2 Microscopic Image Dataset (SC2-MID) with 48 electron microscopic images and also prepare their ground truth images. Furthermore, we extract multiple classical features and novel deep learning features to describe the visual information of SARS-CoV-2. Finally, it is proved that the visual features of the SARS-CoV-2 images which are observed under the electron microscopic can be extracted and analysed.

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