Research Article
Employing Atrous Pyramid Convolutional Deep Learning Approach for Detection to Diagnose Breast Cancer Tumors
Table 3
Comparison of noise reduction approach in this research with previous methods.
| References | Noise reduction approach | Windowing size in input image | PSNR (dB) | MSE |
| Xiao et al. [7] | Median filter | 3 × 3 | 30.69 | 0.9 | 5 × 5 | 23.94 | 7 × 7 | 22.51 |
| Xiao et al. [7] | Mean filter | 3 × 3 | 25.08 | 0.9 | 5 × 5 | 21.68 | 7 × 7 | 20.16 |
| Xiao et al. [7] | Quantum inverse MFT filtering | 3 × 3 | 35.69 | 1.4 | 5 × 5 | 32.40 | 7 × 7 | 30.78 |
| Devakumari and Punithavathi [3] | Adaptive fuzzy median filter | 3 × 3 | 33.60 | 1.3 | 5 × 5 | 37.15 | 7 × 7 | 38.39 |
| Proposed method | QWTF | 3 × 3 | 34.57 | 0.7 | 5 × 5 | 38.41 | 7 × 7 | 43.50 |
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