All Outputs (3)

GLAUCOMA DIAGNOSIS USING FEATURE LEARNING BASED ON CONVOLUTIONAL NEURAL NETWORK (2016)
Presentation / Conference Contribution
Al-Bander, B., Al-Nuaimy, W., Al-Taee, M., & Zheng, Y. (2016, December). GLAUCOMA DIAGNOSIS USING FEATURE LEARNING BASED ON CONVOLUTIONAL NEURAL NETWORK

Glaucoma is one of the common causes of blindness worldwide. It leads to deterioration in vision and quality of life if it is not cured early. This paper addresses the feasibility of developing an automatic feature learning technique for detecting gl... Read More about GLAUCOMA DIAGNOSIS USING FEATURE LEARNING BASED ON CONVOLUTIONAL NEURAL NETWORK.

Diabetic macular edema grading based on deep neural networks (2016)
Presentation / Conference Contribution
Al-Bander, B., Al-Nuaimy, W., Al-Taee, M. A., Williams, B. M., & Zheng, Y. Diabetic macular edema grading based on deep neural networks. Presented at Ophthalmic Medical Image Analysis Third International Workshop, Athens, Greece

Diabetic Macular Edema (DME) is a major cause of vision loss in diabetes. Its early detection and treatment is therefore a vital task in management of diabetic retinopathy. In this paper, we propose a new featurelearning approach for grading the seve... Read More about Diabetic macular edema grading based on deep neural networks.

AUTOMATIC DETECTION OF FOVEA AND OPTIC DISC USING DEEP NEURAL NETWORKS (2016)
Presentation / Conference
Al-Bander, B., Al-Nuaimy, W., Parry, D., Leach, S., & Zheng, Y. (2016, June). AUTOMATIC DETECTION OF FOVEA AND OPTIC DISC USING DEEP NEURAL NETWORKS. Poster presented at 26th Meeting of the European Association for the Study of Diabetes Eye Complications Study Group (EASDec), Manchester, UK

Design: This is a software development and evaluation study involving colour fundus images of the retina from people with diabetes.
Purpose: To investigate the feasibility of deep learning techniques to simultaneously detect the centres of the fovea... Read More about AUTOMATIC DETECTION OF FOVEA AND OPTIC DISC USING DEEP NEURAL NETWORKS.