All Outputs (5)

Automated glaucoma diagnosis using deep learning approach (2017)
Conference Proceeding
Al-Bander, B., Al-Nuaimy, W., Al-Taee, M. A., & Zheng, Y. (2017). Automated glaucoma diagnosis using deep learning approach. . https://doi.org/10.1109/SSD.2017.8166974

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 Automated glaucoma diagnosis using deep learning approach.

Fast blur detection and parametric deconvolution of retinal fundus images (2017)
Conference Proceeding
Williams, B. M., Al-Bander, B., Pratt, H., Lawman, S., Zhao, Y., Zheng, Y., & Shen, Y. (2017). Fast blur detection and parametric deconvolution of retinal fundus images. In Lecture Notes in Computer Science (194-201). https://doi.org/10.1007/978-3-319-67561-9_22

Blur is a significant problem in medical imaging which can hinder diagnosis and prevent further automated or manual processing. The problem of restoring an image from blur degradation remains a challenging task in image processing. Semi-blind deblurr... Read More about Fast blur detection and parametric deconvolution of retinal fundus images.

Computer aided diagnosis of age-related macular degeneration in 3D OCT images by deep learning (2017)
Conference Proceeding
Zheng, Y., Williams, B. M., Pratt, H., Al-Bander, B., Wu, X., & Zhao, Y. (2017). Computer aided diagnosis of age-related macular degeneration in 3D OCT images by deep learning.

Purpose : Three-dimensional (3D) optical coherence tomography (OCT) images are increasingly used in the management of eye disease, yet there has been no corresponding increase in the availability of software tools to support the analysis of large amo... Read More about Computer aided diagnosis of age-related macular degeneration in 3D OCT images by deep learning.

Automatic Feature Learning Method for Detection of Retinal Landmarks (2017)
Conference Proceeding
Al-Bander, B., Al-Nuaimy, W., Al-Taee, M. A., Al-Ataby, A., & Zheng, Y. (2017). Automatic Feature Learning Method for Detection of Retinal Landmarks. . https://doi.org/10.1109/DeSE.2016.4

This paper presents an automatic deep learning method for location detection of important retinal landmarks, the fovea and optic disc (OD) in digital fundus retinal images with the potential for use in an automated screening and grading system. The p... Read More about Automatic Feature Learning Method for Detection of Retinal Landmarks.

Visual Augmentation Glasses for People with Impaired Vision (2017)
Conference Proceeding
Al-Ataby, A., Younis, O., Al-Nuaimy, W., Al-Taee, M., Sharaf, Z., & Al-Bander, B. (2017). Visual Augmentation Glasses for People with Impaired Vision. . https://doi.org/10.1109/DeSE.2016.6

This paper presents the preliminary design and development of a set visual augmentation glasses with the potential to assist people with varying degrees of loss of vision. The wearable spectacles are intended to be non-obstructive, and therefore empl... Read More about Visual Augmentation Glasses for People with Impaired Vision.