Exudate Detection for Diabetic Retinopathy Using Pretrained Convolutional Neural Networks

Table 2

Comparative classification accuracy results of the proposed model with individual CNN models for exudate detection using DIARETDB1 dataset.

CNN models	Data splitting
	Training (%)	Testing (%)	F1 score	Recall	Precision	Classification accuracy (%)
Inception-v3	70	30	0.95	0.98	0.93	93.10
	80	20	0.93	0.94	0.92	93.30
	90	10	0.95	0.94	0.97	93.57
ResNet-50	70	30	0.95	0.99	0.92	90.57
	80	20	0.94	0.98	0.90	96.10
	90	10	0.98	0.98	0.98	97.90
VGG-19	70	30	0.94	0.98	0.90	93.12
	80	20	0.93	0.92	0.95	95.50
	90	10	0.91	0.93	0.90	93.76
Proposed model	70	30	0.96	0.97	0.96	98.72
	80	20	0.95	0.96	0.95	98.91
	90	10	0.96	0.96	0.96	97.92