Dense Fully Convolutional Segmentation of the Optic Disc and Cup in Colour Fundus for Glaucoma Diagnosis

Al-Bander, Baisaa; Williams, Bryan M.; Al-Nuaimy, Waleed; Al-Taee, Majid A.; Pratt, Harry; Zheng, Yalin

doi:10.3390/sym10040087

Dense Fully Convolutional Segmentation of the Optic Disc and Cup in Colour Fundus for Glaucoma Diagnosis

Al-Bander, Baisaa; Williams, Bryan M.; Al-Nuaimy, Waleed; Al-Taee, Majid A.; Pratt, Harry; Zheng, Yalin

Authors

Baidaa Al-Bander b.al-bander@keele.ac.uk

Bryan M. Williams

Waleed Al-Nuaimy

Majid A. Al-Taee

Harry Pratt

Yalin Zheng

Citation

Al-Bander, B., Williams, B. M., Al-Nuaimy, W., Al-Taee, M. A., Pratt, H., & Zheng, Y. (2018). Dense Fully Convolutional Segmentation of the Optic Disc and Cup in Colour Fundus for Glaucoma Diagnosis. Symmetry, 10(4), 87 - 87. https://doi.org/10.3390/sym10040087

Journal Article Type	Article
Acceptance Date	Mar 28, 2018
Publication Date	Mar 30, 2018
Journal	Symmetry
Publisher	MDPI
Peer Reviewed	Peer Reviewed
Volume	10
Issue	4
Pages	87 - 87
ISBN	20738994
DOI	https://doi.org/10.3390/sym10040087
Keywords	deep learning; image segmentation; convolutional neural networks (CNNs); dense network; retinal fundus images; glaucoma diagnosis
Publisher URL	https://www.mdpi.com/2073-8994/10/4/87