Al-Bander, B, Williams, B, Al-Nuaimy, W, Al-Taee, M, Pratt, H and Zheng, Y (2018) Dense Fully Convolutional Segmentation of the Optic Disc and Cup in Colour Fundus for Glaucoma Diagnosis. Symmetry, 10 (4). 87 - 87. ISSN 2073-8994

[thumbnail of symmetry-10-00087.pdf]
Preview
Text
symmetry-10-00087.pdf - Published Version
Available under License Creative Commons Attribution.

Download (4MB) | Preview
Item Type: Article
Additional Information: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
Uncontrolled Keywords: deep learning; image segmentation; convolutional neural networks (CNNs); dense network; retinal fundus images; glaucoma diagnosis
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Natural Sciences > School of Computing and Mathematics
Depositing User: Symplectic
Date Deposited: 02 Aug 2022 10:37
Last Modified: 02 Aug 2022 10:37
URI: https://eprints.keele.ac.uk/id/eprint/11214

Actions (login required)

View Item
View Item