Research Article
Deep Convolutional Neural Network for Ulcer Recognition in Wireless Capsule Endoscopy: Experimental Feasibility and Optimization
Table 3
Cross-validation accuracy of ResNet-18(480) with different weighting factors.
| Weighting factor () | 1.0 | 2.0 | 3.0 | 4.0 | 5.0 | 6.0 |
| AC (%) | 90.95 ± 0.64 | 91.00 ± 0.49 | 90.96 ± 0.68 | 91.00 ± 0.70 | 90.95 ± 0.83 | 90.72 ± 0.75 | SE (%) | 88.65 ± 0.64 | 89.85 ± 0.47 | 89.86 ± 1.01 | 90.67 ± 0.93 | 91.50 ± 0.76 | 91.12 ± 1.94 | SP (%) | 93.27 ± 1.05 | 92.15 ± 1.22 | 92.05 ± 1.09 | 91.45 ± 1.84 | 90.38 ± 1.26 | 90.32 ± 1.88 |
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