Current management of diabetic retinopathy, 2018. ,
Handbook of retinal screening in diabetes: diagnosis and management, 2012. ,
, Management of type 2 diabetes. Retinopathyscreening and early management, NICE, 2002.
Evolutionary algorithm based classifier parameter tuning for automatic diabetic retinopathy grading: A hybrid feature extraction approach, Knowledge-Based Systems, vol.39, pp.9-22, 2013. ,
Review of automated diagnosis of diabetic retinopathy using the support vector machine, International Journal of Applied Engineering Research, vol.1, issue.4, pp.844-863, 2011. ,
SVM and neural network based diagnosis of diabetic retinopathy, International Journal of Computer Applications, vol.41, issue.1, pp.6-12, 2012. ,
Image analysis technique for detecting diabetic retinopathy, International Journal of Computer Applications, vol.1, pp.34-38, 2013. ,
Enhancement of diabetic retinopathy imagery using contrast limited adaptive histogram equalization, International Journal of Computer Science and Information Technologies, vol.2, issue.6, pp.2694-2699, 2011. ,
Automated diabetic retinopathy screening system using hybrid simulated annealing and ensemble bagging classifier, Appl. Sci, vol.8, issue.7, p.1198, 2018. ,
Automated detection of diabetic retinopathy using deep learning, AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science, pp.147-155, 2017. ,
Replication study: Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs, 2018. ,
Deep convolutional neural network-based early automated detection of diabetic retinopathy using fundus image, Molecules, vol.22, issue.12, pp.1-7, 2017. ,
Diabetic retinopathy detection through integration of deep learning classification framework, 2017. ,
Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs, JAMA, pp.1-9, 2016. ,
Neural networks with manifold learning for diabetic retinopathy detection, Proceedings of IEEE Western NY Image & Signal Processing Workshop, 2016. ,
Convolutional neural networks for diabetic retinopathy, Procedia Computer Science, pp.1-6, 2016. ,
Automatic detection and classification of diabetic retinopathy stages using CNN, 4 th International Conference on Signal Processing and Integrated Networks (SPIN), pp.550-554, 2017. ,
Microaneurysm detection using deep learning and interleaved freezing, Proc. SPIE 10574, vol.1057411, pp.1-9, 2018. ,
Retinal lesion detection with deep learning using image patches, Investigative Ophthalmology & Visual Science, vol.59, issue.1, pp.590-596, 2018. ,
, Automatic microaneurysms detection on retinal images using deep convolution neural network. International Workshop on Advanced Image Technology (IWAIT), pp.1-2, 2018.
Clinical report guided retinal microaneurysm detection with multi-sieving deep learning, IEEE Transactions on Medical Imaging, vol.37, issue.5, pp.1149-1161, 2018. ,
Fusion of deep convolutional neural networks for microaneurysm detection in color fundus images, 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp.3705-3708, 2018. ,
A deep learning method for microaneurysm detection in fundus images, 2016 IEEE First International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), pp.357-358, 2016. ,
Improved microaneurysm detection using deep neural network, 2016. ,
Automated segmentation of exudates, haemorrhages, microaneurysms using single convolutional neural network, Information Sciences, vol.420, pp.66-76, 2017. ,
Automatic screening and classification of diabetic retinopathy fundus images, Proceedings of 15 th International Conference on Engineering Applications of Neural Networks, vol.459, pp.113-122, 2014. ,
Detection of diabetic retinopathy and maculopathy in eye fundus images using fuzzy image processing, Proceedings of 8 th International Conference on Brain Informatics and Health, BIH 2015, LNAI, vol.9250, pp.379-388, 2015. ,
Automatic screening and classification of diabetic retinopathy and maculopathy using fuzzy image processing, Brain Informatics, vol.40708, pp.1-19, 2016. ,
Automatic detection of microaneurysms for diabetic retinopathy screening using fuzzy image processing, Communications in Computer and Information Science, vol.517, pp.69-79, 2015. ,
A novel approach to the detection of macula in human retinal imagery, International Journal of Signal Processing Systems, vol.1, issue.1, pp.23-28, 2013. ,
Automated system for macula detection in digital retinal images, Proceedings of the 2011 International Conference on Information and Communication Technologies, ICICT, pp.1-5, 2011. ,
Automated detection of exudates and macula for grading of diabetic macular edema, Computer Methods and Programs in Biomedicine, vol.114, pp.141-152, 2014. ,
Automated localisation of optic disk and fovea in retinal fundus images, Proceedings of the 16th European Signal Processing Conference, pp.1-5, 2008. ,
Detection of diabetic maculopathy in human retinal images using morphological operations, Online Journal of Biological Sciences, vol.14, pp.175-180, 2014. ,
A novel approach for diagnosis and severity grading of diabetic maculopathy, Proceedings of the 2013 International Conference on Advances in Computing, Communications and Informatics, pp.1230-1235, 2013. ,
Automated detection and grading of diabetic maculopathy in digital retinal images, Journal of Digital Imaging, vol.26, issue.4, pp.803-812, 2013. ,
Automatic grading of diabetic maculopathy severity levels, Proceedings of the 2010 International Conference on Systems in Medicine and Biology, pp.331-334, 2010. ,
Automated diagnosis of referable maculopathy in diabetic retinopathy screening, Proceedings of 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.3375-3378, 2011. ,
Ensemble selection for featurebased classification of diabetic maculopathy images, Computers in Biology and Medicine, vol.43, issue.12, pp.2156-2162, 2013. ,
, Explainable AI: The new 42? Springer Lecture Notes in Computer Science LNCS 11015, pp.295-303, 2018.