[Retracted] Cataract Disease Detection by Using Transfer Learning-Based Intelligent Methods

Table 3

Performance score of DensNet121, Xception, InceptionV3, and InceptionResNetV2.

Model	Dataset	Accuracy	Loss	Sensitivity	Specificity	Images	Precision	Recall	F1 score
DenseNet121	Test	0.9541	0.2313	0.9230	0.9842	Normal	0.98	0.92	0.95
						Cataract	0.93	0.98	0.96
Xception	Test	0.9771	0.0719	0.9792	0.9754	Normal	0.97	0.98	0.97
						Cataract	0.98	0.98	0.98
InceptionV3	Test	0.9771	0.1223	0.9504	1.00	Normal	1.00	0.95	0.97
						Cataract	0.96	1.00	0.98
InceptionResNetV2	Test	0.9817	0.0622	0.9655	1.00	Normal	1.00	0.97	0.98
						Cataract	0.96	1.00	0.98