Research Article
Intelligent Deep Learning Enabled Oral Squamous Cell Carcinoma Detection and Classification Using Biomedical Images
Table 1
Classification results of IDL-OSCDC technique on TR/TS datasets.
| | Class labels | Accuracy | Precision | Recall | F-score |
| | Training/Testing (90 : 10) | | Cancer | 92.86 | 100.00 | 90.00 | 94.74 | | Noncancer | 92.86 | 80.00 | 100.00 | 88.89 | | Average | 92.86 | 90.00 | 95.00 | 91.81 |
| | Training/Testing (80 : 20) | | Cancer | 92.59 | 100.00 | 90.00 | 94.74 | | Noncancer | 92.59 | 77.78 | 100.00 | 87.50 | | Average | 92.59 | 88.89 | 95.00 | 91.12 |
| | Training/Testing (70 : 30) | | Cancer | 95.00 | 92.31 | 100.00 | 96.00 | | Noncancer | 95.00 | 100.00 | 87.50 | 93.33 | | Average | 95.00 | 96.15 | 93.75 | 94.67 |
| | Training/Testing (60 : 40) | | Cancer | 94.34 | 96.55 | 93.33 | 94.92 | | Noncancer | 94.34 | 91.67 | 95.65 | 93.62 | | Average | 94.34 | 94.11 | 94.49 | 94.27 |
|
|