This is the implementation code for paper submitted to Bioinformatics: "Unsupervised deep feature extraction via adaptive collaborative learning for drusen segmentation of fundus images".
C++, matlab
STARE dataset available: http://cecas.clemson.edu/~ahoover/stare/
DRIVE dataset available: https://www.isi.uu.nl/Research/Databases/DRIVE/
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To train deep_net and SVM classifier based on train data:
main_train.m (drusen_segmentation_demo.m; training.m; net_struc,m; updating_net.m)
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To test the model based on test data:
main_test.m (test_patches.m; test_evaluation.m)