Diagnosis of Retinal Diseases Based on Bayesian Optimization Deep Learning Network Using Optical Coherence Tomography Images

Table 6

Performance of DenseNet201.

Class labels	Precision (%)		Recall (%)		F1-score (%)
	Feature extractor	Fine tuner	Feature extractor	Fine tuner	Feature extractor	Fine tuner
AMD	97.34	100.00	94.82	100.00	95.12	99.12
CNV	91.08	99.82	92.45	98.12	92.91	89.66
DME	94.26	99.55	89.12	99.34	90.72	99.61
CSR	97.18	99.11	93.29	97.56	94.61	98.55
DR	89.99	99.79	96.51	98.69	94.95	97.99
Drusen	91.73	99.51	93.21	98.88	92.91	97.99
MH	91.00	100.00	96.57	99.11	93.98	98.44
Normal	92.09	99.91	94.12	98.99	94.01	98.03
Macro average	93.08	99.71	93.76	98.84	93.65	97.42
Weighted average	93.08	99.71	93.76	98.84	93.65	97.42