DNN Classifier of Wide-angle Retinal Images in Computer-Aided Screening for ROP

This repository contains the following files:1. data set preview.pngA preview of the data set. This is a snapshot of the resized (80x60) version of the training & test data set.The original image data set are not provided, due to patient privacy protection and hospital IRB regulations.2. Training Set Thumbnails.zipThe training dataset includes:Class I (with disease): 8089Class II (without disease): 97113. Test Set Thumbnails.zipThe test training dataset includes:Class I (with disease): 155Class II (without disease): 15874. DNNs.zipThis zip file contains 3 subfolders: AlexNet, GoogLeNet, VGG16.Each subfolder further includes: Model definition graphTwo trained models in the Caffe format. One is trained "from scratch" and the other "by transfer learning". P-R curveROC curveSoftmax output probabilities on the test data set5. HumanExpertsPerformance.zipThe five pediatric ophthalmologists' diagnoses on the test data setDNN performance measuresDNN vs Human P-R curveDNN vs Human ROC curve6. scripts.zipScripts used in this study for batch inference and data analysis.