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

This repository contains the following files:<br>1. data set preview.png<br>A preview of the data set. This is a snapshot of the resized (80x60) version of the training &amp; test data set.The original image data set are not provided, due to patient privacy protection and hospital IRB regulations.<br>2. Training Set Thumbnails.zip<br>The training dataset includes:Class I (with disease): 8089Class II (without disease): 9711<br><br>3. Test Set Thumbnails.zip<br>The test training dataset includes:Class I (with disease): 155Class II (without disease): 1587<br>4. DNNs.zip<br>This 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 set<br><br>5. HumanExpertsPerformance.zip<br>The five pediatric ophthalmologists' diagnoses on the test data setDNN performance measures<br>DNN vs Human P-R curveDNN vs Human ROC curve<br><br>6. scripts.zip<br>Scripts used in this study for batch inference and data analysis. <br><br>