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Table 2 Test classification performance results obtained in Test 1

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 48/288 49/294 48/288 48/288 48/288 50/300 51/306
FN 6/36 5/30 6/36 6/36 6/36 4/24 3/18
TN 10/60 35/210 23/138 36/216 10/60 9/54 11/66
FP 33/198 8/48 20/120 7/42 33/198 34/204 32/192
PPV 0.59 0.86 * 0.71 0.87 * 0.59 0.60 0.61
Sensitivity 0.89 0.91* 0.89 0.89* 0.89 0.93 0.94
Specificity 0.23 0.81* 0.53 0.84* 0.23 0.21 0.26
  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 of the given retinal layers, respectively.