Table 3.

Results of the CNN on the five classes WSI classification task on the SKET mislabeled samples, considering both the models trained with automatically and manually labeled WSIs.

Dataset	Micro-accuracy (SKET labels)	Micro-accuracy (GT labels)	Weighted F1-score (SKET labels)	Weighted F1-score (GT labels)
Catania	0.817 ± 0.037	0.831 ± 0.022	0.579 ± 0.032	0.599 ± 0.039
Radboudumc	0.835 ± 0.008	0.851 ± 0.014	0.571 ± 0.027	0.627 ± 0.036