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Table 6 Test classification performance results obtained in Test 3

From: Automated classifiers for early detection and diagnosis of retinopathy in diabetic eyes

TH vs. FD RNFL (eye/scans) GCL + IPL. (eye/scans) INL (eye/scans) OPL (eye/scans) ONL + IS (eye/scans) OS (eye/scans) RPE (eye/scans)
TP 18/108 18/108 15/90 4/24 10/60 18/108 20/120
FN 5/30 5/30 8/48 19/114 13/78 5/30 3/18
TN 30/180 26/156 32/192 28/168 26/162 31/186 33/198
FP 8/48 12/72 6/36 10/60 12/72 7/42 5/30
PPV 0.69 0.60 0.71 0.29 0.45 0.72 0.80*
Sensitivity 0.78 0.78 0.65 0.17 0.43 0.78 0.87*
Specificity 0.79 0.68 0.84 0.74 0.68 0.82 0.87*
  1. *denotes the intraretinal layer for which the sensitivity, specificity and PPV are greater than 80%.
  2. Sensitivity, specificity, predictive values (TP, FN, TN, FP) and positive predictive values (PPV) obtained when training the Bayesian radial basis function network using the thickness (TH) and fractal dimension (FD) as the input and target features, respectively.
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