| Id |
Subject |
Object |
Predicate |
Lexical cue |
| T102 |
0-161 |
Sentence |
denotes |
PCA was used to visually compare the characteristics of the medical images (X-data, CT-data) for the COVID-19 cases with those of the normal and influenza cases. |
| T103 |
162-318 |
Sentence |
denotes |
Figure 2a shows the mean image of each category and the five eigenvectors that represent the principal components of PCA in the corresponding feature space. |
| T104 |
319-510 |
Sentence |
denotes |
Significant differences are observed between the COVID-19, influenza, and normal cases, indicating the possibility of being able to distinguish COVID-19 cases from normal and influenza cases. |
| T105 |
511-585 |
Sentence |
denotes |
Fig. 2 PCA visualizations and example heatmaps of both X-data and CT-data. |
| T106 |
586-648 |
Sentence |
denotes |
a Mean image and eigenvectors of five different sub-data sets. |
| T107 |
649-731 |
Sentence |
denotes |
The first column shows the mean image and the other columns show the eigenvectors. |
| T108 |
732-939 |
Sentence |
denotes |
The first row shows the mean image and five eigenvectors of the normal CXR images; second row: COVID-19 CXR images, third row: normal CT images, fourth row: influenza CT images, last row: COVID-19 CT images. |
| T109 |
940-1126 |
Sentence |
denotes |
The scale bar on the right is the range of pixel values of the image data. b Heatmaps of both X-data and CT-data were demonstrated for better interpretability of the proposed frameworks. |
| T110 |
1127-1216 |
Sentence |
denotes |
The scale bar on the right is the probability of the areas being suspected as infections. |
