Research Article
Classification of Computed Tomography Images in Different Slice Positions Using Deep Learning
Table 6
Recall, precision, F-measure, and overall accuracy for each dataset in AlexNet and GoogLeNet.
| ā | CNN architecture | Dataset | 0.1K | 0.5K | 1K | 2K | 3K | 4K | 5K | 6K | 7K | 8K | 9K | 10K |
| Recall | AlexNet | 0.39 | 0.77 | 0.84 | 0.82 | 0.83 | 0.85 | 0.81 | 0.84 | 0.83 | 0.84 | 0.81 | 0.83 | GoogLeNet | 0.34 | 0.72 | 0.78 | 0.79 | 0.82 | 0.82 | 0.75 | 0.79 | 0.81 | 0.75 | 0.81 | 0.83 |
| Precision | AlexNet | 0.43 | 0.79 | 0.85 | 0.84 | 0.84 | 0.86 | 0.82 | 0.85 | 0.86 | 0.85 | 0.84 | 0.83 | GoogLeNet | 0.33 | 0.80 | 0.81 | 0.80 | 0.82 | 0.83 | 0.78 | 0.81 | 0.83 | 0.78 | 0.82 | 0.84 |
| F-measure | AlexNet | 0.32 | 0.77 | 0.83 | 0.81 | 0.83 | 0.85 | 0.80 | 0.84 | 0.83 | 0.84 | 0.82 | 0.83 | GoogLeNet | 0.30 | 0.71 | 0.78 | 0.79 | 0.81 | 0.82 | 0.74 | 0.79 | 0.81 | 0.74 | 0.80 | 0.83 |
| Overall accuracy | AlexNet | 0.39 | 0.77 | 0.84 | 0.82 | 0.83 | 0.85 | 0.81 | 0.84 | 0.83 | 0.84 | 0.81 | 0.83 | GoogLeNet | 0.34 | 0.72 | 0.78 | 0.79 | 0.82 | 0.82 | 0.75 | 0.79 | 0.81 | 0.75 | 0.81 | 0.83 |
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