Table 10 A comparative evaluation analysis of the developed Skin-DeepNet architecture against state-of-the-art systems on the ISIC 2019 and HAM1000 datasets.
Approaches | ISIC 2019 | HAM1000 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
AR | Pr. | Re. | F1 | AUC | AR | Pr. | Re. | F1 | AUC | |
Adegun and Viriri44 | – | – | – | – | – | 98.3 | 98 | 98.5 | 98 | 99 |
Banerjee et al.36 | 97.86 | 94.99 | 96.06 | – | – | – | – | – | – | – |
Singh et al.37 | 98.04 | 95.82 | 96.67 | 96.24 | 97.59 | – | – | – | – | – |
Krishnan et al.42 | 96.03 | 96.68 | 96.03 | 96.03 | – | 96.36 | 97.07 | 96.36 | 96.44 | – |
Monica et al.41 | – | – | – | – | – | 99.98 |  | 99.97 | 99.90 | – |
Imranet al.18 | 93.50 | 94 | 87 | 92 | – | – | – | – | – | – |
Radhika and Chandana43 | 98.77 | 98.56 | 98.42 | 98.76 | – | – | – | – | – | – |
Naeem and Anees45 | 98.32 | 98.23 | 98.23 | 98.19 | 98.90 | – | – | – | – | – |
Himel et al.38 | – | – | – | – | – | 96.15 | 96.95 | 95.30 | 96.12 | 99.49 |
Alwakid et al.46 | – | – | – | – | – | 86 | 84 | 86 | 86 |  |
Ali et al.47 | – | – | – | – | – | 87.91 | 88 | 88 | 87 | 97.53 |
Kousis et al.48 | – | – | – | – | – | 92.25 | 92.95 | 93.59 | 93.27 | – |
Skin-DeepNet system | 99.65 | 99.51 | 99.56 | 99.54 | 99.94 | 100 | 99.92 | 100 | 99.96 | 99.97 |
