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Fig. 8 | BMC Medical Imaging

Fig. 8

From: The application research of AI image recognition and processing technology in the early diagnosis of the COVID-19

Fig. 8

3D images of lesions. The 6 quantitative factors are as follows: i Number of lesions: calculating the number of lesions by 3D lesion data. The more the lesions, the more severe the condition. ii Maximum lesion length: calculating the maximum lesion length of each lesion. The larger the lesion, the more severe the condition. iii Lesion density: Generally, the more uneven the density of the lesions, the more severe the disease, and the higher the density, the more serious the disease. iv Lesion boundary: usually the boundaries of inflammation are blurry, and the boundaries of diseases such as cancer are clearer. v Distance from the edge of the lesion to the pleura: One of the characteristics of COVID-19 is that it often occurs under the pleura. vi The shape of the largest 3 lesions: usually the safer lesions are regular in shape, that is, round or oval, and the dangerous lesions are irregular in shape

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