Research Article
Biomedical Imaging Modality Classification Using Combined Visual Features and Textual Terms
Table 1
Confusion matrix of one run on medical evaluated dataset using combined visual and texture features.
| Modality | CT | GX | MR | NM | PET | PX | US | XR |
| CT (%) | 92.537 | 0 | 3.9851 | 0 | 0.4925 | 0.7463 | 0 | 2.2388 | GX (%) | 0 | 97.714 | 0 | 0 | 0 | 0.2857 | 0 | 0 | MR (%) | 3.3613 | 0 | 94.118 | 0 | 0 | 0.8403 | 0 | 1.6807 | NM (%) | 0 | 0 | 0 | 98.23 | 1.77 | 0 | 0 | 0 | PET (%) | 0 | 0 | 0.4224 | 2.53 | 97.048 | 0 | 0 | 0 | PX (%) | 0 | 1.333 | 0 | 0.6667 | 0 | 96.667 | 0 | 1.3333 | PX (%) | 0 | 0 | 0.7874 | 0 | 0.7874 | 98.425 | 0 | 0 | XR (%) | 1.7241 | 0 | 2.5862 | 0.8621 | 0 | 0.8621 | 0 | 93.966 |
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