Research Article
[Retracted] Atom Search Optimization with the Deep Transfer Learning-Driven Esophageal Cancer Classification Model
Table 3
Comparative analysis of the ASODTL-ECC technique with existing algorithms.
| Methods | Sensitivity | Specificity | Accuracy | F-score |
| VGG-16 | 96.40 | 98.06 | 94.42 | 90.35 | ResNet18 | 96.31 | 95.78 | 92.73 | 91.03 | ResNet50 | 97.06 | 93.62 | 94.77 | 96.20 | EfficientNet-B0 | 92.14 | 97.75 | 95.58 | 96.39 | RegNetY-400 MF | 92.15 | 90.91 | 92.83 | 95.49 | DenseNet201 | 92.68 | 92.43 | 92.97 | 96.18 | GoogLeNet | 92.09 | 91.77 | 91.89 | 93.88 | ASODTL-ECC | 99.49 | 99.78 | 99.7 | 99.52 |
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