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Figure 3 | BMC Ophthalmology

Figure 3

From: Integration and fusion of standard automated perimetry and optical coherence tomography data for improved automated glaucoma diagnostics

Figure 3

Performance measured as Area Under the Receiver Operating Characteristic Curve (AROC) for the compared parameters. Artificial Neural Network (ANN) AROCs for the different input types used. The upper quadrant of the diagram (shaded area) is shown in magnification. The largest AROCs were created by Artificial Neural Network (ANN) ensembles with input based on the fused OCT data and the combined fused OCT and SAP data. Figure abreviations: SAP data: Standard Automated Perimetry data, based on Pattern Deviation (PD) probability scores. F-SAP data: Fused SAP data, based on weighted transformation of PD probability scores with OCT-derived probability scores. OCT data: Age- and refraction corrected OpticalCoherence Tomography A-scan data, optimized by principal component analysis (PCA). F-OCT data: Fused OCT data, based on weighted transformation of A-scan measurements with PD probability scores and optimized by PCA.

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