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. 2023 Apr 5;36(4):1712–1722. doi: 10.1007/s10278-023-00819-8

Table 6.

Segmentation performance comparison of the proposed method before and after pruning noisy and mildly noisy GT labels from ISIC 2017 train and test sets

Train pruned (Ntrain) Test pruned (Ntest) Jac Dsc Acc
None (2150) None (600) 0.807 0.880 94.779
Noisy (580) 0.817 0.889 95.536
Noisy + Mildly noisy (493) 0.832 0.900 96.393
Noisy (2131) None (600) 0.806 0.878 94.723
Noisy (580) 0.815 0.887 95.518
Noisy + Mildly noisy (493) 0.827 0.895 96.210
Noisy + Mildly noisy (1982) None (600) 0.802 0.875 94.658
Noisy (580) 0.812 0.885 95.398
Noisy + Mildly noisy (493) 0.824 0.893 96.073

The values in bold are the highest scores