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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

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Authors

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

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