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

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

英文摘要：

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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