Table 5 Evaluation of the performance of various GAN-based methods
Method | Scenarios | accuracy | precision | recall | f_score |
|---|---|---|---|---|---|
[28],2024 pyramid attention-based GAN | Scenario1 | 82% | 81% | 87% | 84% |
Scenario2 | 65% | 67% | 65% | 66% | |
[36], 2024 Reinforcement Learning-based GAN | Scenario1 | 77% | 80% | 77% | 78% |
Scenario2 | 62% | 63% | 61% | 62% | |
MD-GAN [26], 2019 | Scenario1 | 76% | 74% | 82% | 78% |
Scenario2 | 60% | 59% | 58% | 59% | |
DDDG-GAN (proposed) | Scenario1 | 92.56% | 90.12% | 95.87% | 92.77% |
Scenario2 (Luna16) | 72.6% | 72.3% | 73.82% | 73.39% | |
Scenario2 (LUNGx) | 71.23% | 67.56% | 73.52% | 70.42% |