TABLE 4.

Classification results for the Top-2 evaluation of predictions.

	ResNet50 base model			VGG16 base model			Xception base model
Class	Precision	Recall	F1-Score	Precision	Recall	F1-Score	Precision	Recall	F1-Score
Dead	1.00	0.88	0.93	0.93	0.88	0.90	1.00	1.00	1.00
Normal	1.00	1.00	1.00	1.00	0.73	0.84	0.00	0.00	0.00
Blood stasis	0.40	0.14	0.21	0.00	0.00	0.00	0.00	0.00	0.00
Necrosed_Yolk_Sac	0.82	0.82	0.82	0.66	0.96	0.78	0.37	0.68	0.48
Edema	0.66	0.93	0.77	0.78	0.93	0.85	0.38	0.41	0.39
Average	0.78	0.75	0.75	0.67	0.79	0.68	0.35	0.42	0.37
Accuracy	0.78			0.77			0.48

Bold values in the tables indicate the best performance.