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Table 3 Test classification performance results obtained in Test 1 after using the total reflectance as an input feature

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

TR 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 37/222 9/54 9/54 11/66
FP 33/198 8/48 20/120 6/36 34/204 34/204 32/192
PPV 0.59 0.86 0.71 0.89 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 0.86* 0.21 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 total reflectance (TR) and fractal dimension (FD) as the input and target features, respectively.