Research Article
Diagnosis of Retinal Diseases Based on Bayesian Optimization Deep Learning Network Using Optical Coherence Tomography Images
Table 9
Validation and testing accuracy of the proposed models.
| | Experiment scenario | VGG16 | DenseNet201 | InceptionV3 | Xception | | Valid (%) | Test (%) | Valid (%) | Test (%) | Valid (%) | Test (%) | Valid (%) | Test (%) |
| | Feature extractor | 80.64 | 79.36 | 94.57 | 93.81 | 91.63 | 89.73 | 92.11 | 90.99 | | Fine-tuner | 95.21 | 95.25 | 99.23 | 99.71 | 96.92 | 96.78 | 98.12 | 97.92 |
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