DNN Classifier of Wide-angle Retinal Images in Computer-Aided Screening for ROP
2018-06-05T16:20:57Z (GMT) by
This repository contains the following files:
1. data set preview.png
A 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.zip
The training dataset includes:
Class I (with disease): 8089
Class II (without disease): 9711
3. Test Set Thumbnails.zip
The test training dataset includes:
Class I (with disease): 155
Class II (without disease): 1587
This zip file contains 3 subfolders: AlexNet, GoogLeNet, VGG16.
Each subfolder further includes:
Model definition graph
Two trained models in the Caffe format. One is trained "from scratch" and the other "by transfer learning".
Softmax output probabilities on the test data set
The five pediatric ophthalmologists' diagnoses on the test data set
DNN performance measures
DNN vs Human P-R curve
DNN vs Human ROC curve
Scripts used in this study for batch inference and data analysis.