Hybrid distribution combinations results of PPSM model using dermoscopic ISIC and PH2 datasets
| PPSM joint distributions | ISIC | PH2 | ||
|---|---|---|---|---|
| # of best segmented images | Best performance (%) | # of best segmented images | Best performance (%) | |
| Gaussian | 0 | 0.0 | 0 | 0.0 |
| Gamma | 1 | 0.2 | 0 | 0.0 |
| Lognormal | 2 | 0.4 | 0 | 0.0 |
| Gaussian–gamma | 14 | 2.8 | 15 | 7.5 |
| Gaussian–lognormal | 5 | 1.0 | 6 | 3.0 |
| Gamma–Gaussian | 22 | 4.4 | 1 | 0.5 |
| Gamma–lognormal | 0 | 0.0 | 0 | 0.0 |
| Lognormal–Gaussian | 456 | 91.2 | 178 | 89.0 |
| Lognormal–gamma | 0 | 0.0 | 0 | 0.0 |
| PPSM joint distributions | ISIC | PH2 | ||
|---|---|---|---|---|
| # of best segmented images | Best performance (%) | # of best segmented images | Best performance (%) | |
| Gaussian | 0 | 0.0 | 0 | 0.0 |
| Gamma | 1 | 0.2 | 0 | 0.0 |
| Lognormal | 2 | 0.4 | 0 | 0.0 |
| Gaussian–gamma | 14 | 2.8 | 15 | 7.5 |
| Gaussian–lognormal | 5 | 1.0 | 6 | 3.0 |
| Gamma–Gaussian | 22 | 4.4 | 1 | 0.5 |
| Gamma–lognormal | 0 | 0.0 | 0 | 0.0 |
| Lognormal–Gaussian | 456 | 91.2 | 178 | 89.0 |
| Lognormal–gamma | 0 | 0.0 | 0 | 0.0 |
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