An Effective Method for Detecting and Classifying Diabetic Retinopathy Lesions Based on Deep Learning

Table 6

Comparison of studies conducted with the MESSIDOR dataset and the proposed study.

Authors	Training type	Method	Process type	ACC	AUC	SEN
Gulshan et al. [54]	CNN	TL	Fundus classification	—	99.0	87.0
Costa and Campilho [55]	SURF + CNN	EE	Fundus classification	—	90.0	—
Gargeya and Leng [56]	CNN	EE	Fundus classification	—	94.0	—
Wang et al. [57]	Zoom	EE	Fundus classification	91.1	95.7	—
Chen et al. [58]	SI2DRNet	EE	Fundus classification	91.2	96.5	—
Ours	Faster RCNN + CNN	TL	Fundus classification	100	100	100