[Retracted] Keratoconus Classification with Convolutional Neural Networks Using Segmentation and Index Quantification of Eye Topography Images by Particle Swarm Optimisation

Table 2

Confusion matrix and performance metrics of CNN classification of PSO-optimised eye topography images.

Actual classes		Predicted classes			Accuracy (%)	Specificity (%)	Sensitivity (%)
		Normal	Subclinical	Keratoconus
Normal	492	464	19	9	93.8	96.7	89.1
Subclinical	424	41	364	19	93.3	93.9	91.7
Keratoconus	462	16	14	432	95.8	96.7	93.9