Table 2.

Evaluation of different segmentation methods for Dataset A.

	%	BG	NFL	GCL+IPL	INL	OPL	ONL+IS	OS	OPR	RPE
FCN	Precision	99.73	80.04	97.51	75.87	69.13	98.24	75.88	87.19	75.61
	Recall	97.09	93.52	90.12	93.15	80.97	92.86	86.76	81.59	92.78
	DSC	98.42	86.26	94.13	83.63	74.58	95.48	80.96	84.30	83.32
Unet	Precision	99.82	81.89	98.11	84.61	72.43	98.30	78.40	86.26	79.52
	Recall	97.47	95.37	93.64	88.87	85.44	94.04	84.73	87.44	93.25
	DSC	98.63	88.12	95.83	86.69	78.82	96.13	81.44	86.85	85.84
SegNet	Precision	99.80	80.17	97.25	87.83	69.60	96.96	78.49	81.94	81.14
	Recall	97.48	95.93	93.89	85.35	83.67	93.26	81.76	87.04	91.91
	DSC	98.63	87.76	96.04	86.57	76.80	95.08	81.12	84.41	86.90
TransUnet	Precision	99.42	81.18	97.38	88.07	67.53	97.00	73.25	84.71	78.58
	Recall	97.08	95.75	93.34	82.69	85.09	93.76	88.66	88.12	89.98
	DSC	98.23	88.45	95.32	85.29	75.30	95.35	80.22	86.38	83.90
TranSegNet	Precision	99.75	82.18	97.91	89.29	77.40	98.21	77.98	91.30	80.46
	Recall	97.99	96.36	94.33	91.29	85.37	94.56	89.83	85.32	95.56
	DSC	98.86	87.76	96.64	90.28	80.27	96.35	82.14	88.21	87.36