Table 1.

Performance evaluation for red lesion segmentation

Segmentation	Sensitivity	Specificity	Accuracy	Precision	F1-Score
Architecture
Used
U-Net [3]	79.92	99.65	99.48	67.88	73.41
Attention U-Net [4]	85.10	99.60	99.49	62.67	72.18
Multi-task Architecture [22]	85.18	99.89	99.83	78.96	81.95
Proposed method	88.79	99.64	99.53	71.50	79.21