[Retracted] Deep Learning for Ocular Disease Recognition: An Inner-Class Balance

Table 4

Comparison among different approaches.

Paper reference	Model name	Accuracy (%)	Our work
Paper [1]	VGGNet	89.75	(VGG-19) 98.10%
Paper [36]	VGG-19	97.94
Paper [37]	VGG-16	81.76
Paper [38]	EfficientNetB5	87.25
	EfficientNetB6	86.52
	DenseNet169	86.76
Paper [39]	VGG-16 (off-site)	85.4
	VGG-16 (on-site)	86.28