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

Table 4

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

Actual classes		Predicted classes			Accuracy (%)	Specificity (%)	Sensitivity (%)
		Normal	Subclinical	Keratoconus
Normal	492	476	12	4	95.4	98.1	90.8
Subclinical	424	36	376	12	95.1	95.1	94.9
Keratoconus	462	12	8	442	97.4	97.8	96.5