Research Article
Reliable Breast Cancer Diagnosis with Deep Learning: DCGAN-Driven Mammogram Synthesis and Validity Assessment
Table 3
The discriminator architecture.
| Layer no | Layer type | Output shape | Activation |
| 1 | Conv2D (input) | 64 × 32 × 32 | LeakyReLU | 2 | Conv2D | 64 × 16 × 16 | LeakyReLU | 3 | Batch normalization | 64 × 16 × 16 | — | 4 | Conv2D | 128 × 8 × 8 | LeakyReLU | 5 | Batch normalization | 128 × 8 × 8 | — | 6 | Conv2D | 256 × 4 × 4 | LeakyReLU | 7 | Batch normalization | 256 × 4 × 4 | — | 8 | Conv2D | 512 × 4 × 4 | — | 9 | Batch normalization | 512 × 4 × 4 | LeakyReLU | 10 | Flatten | 1 × 1 × 1 | Sigmoid |
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