Table 3.

Comparison of segmentation performance for the ISBI 2017 dataset

Methods	Sensitivity %	Specificity %	Accuracy %	Dice %	Jaccard %
U-Net	67.15	97.24	90.14	76.27	61.64
SegNet	80.05	95.37	91.76	82.09	69.63
FCN	79.98	96.66	92.72	83.83	72.17
Jianu et al. [42]	72	89	81	-	-
eVida [43]	86.9	92.3	88.4	76	66.5
Li et al. [5]	82	97.8	93.2	84.7	76.2
Unver and Ayan [8]	90.82	92.68	93.39	84.26	74.81
FrCN [1]	85.40	96.69	94.03	87.08	77.11
iFCN	85.44	98.08	95.30	88.64	78.34