Table 3.

Evaluation of different segmentation methods for Dataset B.

	%	BG	NFL	GCL +IPL	INL	OPL	ONL +IS	ISE	OS-RPE	Choroid	Fluid
FCN	Precision	99.74	68.9	93.15	66.48	57.48	90.92	89.14	82.5	99.9	10.05
	Recall	96.6	92.29	83.9	68.7	78.9	83.83	88.17	88.6	99.03	5.37
	DSC	98.15	79.26	88.29	69.3	66.58	87.23	88.65	85.44	99.49	9.66
U-net	Precision	99.59	70.3	93.19	62.37	51.43	91.70	91.71	80.96	99.96	23.64
	Recall	96.77	91.4	83.27	67.22	78.79	81.85	89.12	91.21	99.04	14.23
	DSC	98.15	79.47	87.95	69.01	62.22	86.94	90.39	85.78	99.48	23.20
SegNet	Precision	99.73	79.14	89.27	56.27	62.6	89.28	86.79	78.14	99.86	19.81
	Recall	97.57	92.08	84.55	69.24	74.81	83.33	87.78	92.31	99.29	3.11
	DSC	98.69	85.12	86.85	62.08	68.16	87.58	87.28	85.95	99.52	5.38
TransUnet	Precision	93.97	76.99	91.66	67.95	67.06	87.13	89.28	86.57	99.81	39.73
	Recall	97.28	89.32	83.63	64.62	66.68	91.70	92.37	91.24	97.97	12.12
	DSC	95.6	82.7	87.46	66.24	66.87	89.36	90.36	86.84	98.88	19.95
TranSegNet	Precision	99.47	81.53	92.88	68.73	67.69	91.45	88.17	86.57	99.96	47.56
	Recall	98.24	93.05	86.99	70.35	79.10	92.78	93.55	92.20	99.26	30.17
	DSC	98.86	86.47	89.84	72.20	68.33	89.84	91.36	88.84	99.57	29.49