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Figure 2 | BMC Ophthalmology

Figure 2

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

Figure 2

Examined types of test data used as input to artificial neural network classifiers. Input to the ANNs consisted of the 22 parameters derived from PCA preprocessing of the OCT A-scan data (processed OCT), the 52 scored SAP parameters, 52 fused SAP parameters derived from incorporation of information from the corrected OCT data, and the 38 fused OCT parameters derived from incorporation of scored SAP data and PCA preprocessing.

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BMC Ophthalmology

ISSN: 1471-2415

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