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Clinical Ophthalmology Volume 16, 2022 - Issue
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Review

Machine Learning and Deep Learning Techniques for Optic Disc and Cup Segmentation – A Review

Mohammed Alawad1 Department of Biostatistics and Bioinformatics, King Abdullah International Medical Research Center, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
,
Abdulrhman Aljouie1 Department of Biostatistics and Bioinformatics, King Abdullah International Medical Research Center, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi ArabiaORCID Iconhttps://orcid.org/0000-0002-5592-2462
ORCID Icon,
Suhailah Alamri2 Department of Imaging Research, King Abdullah International Medical Research Center, King Saud bin Abdulaziz University for health Sciences, Riyadh, Saudi Arabia;3 Research Labs, National Center for Artificial Intelligence, Riyadh, Saudi Arabia
,
Mansour Alghamdi4 Department of Optometry and Vision Sciences College of Applied Medical Sciences, King Saud University, Riyadh, Saudi ArabiaORCID Iconhttps://orcid.org/0000-0002-9389-4722
ORCID Icon,
Balsam Alabdulkader4 Department of Optometry and Vision Sciences College of Applied Medical Sciences, King Saud University, Riyadh, Saudi ArabiaORCID Iconhttps://orcid.org/0000-0002-4804-7866
ORCID Icon,
Norah Alkanhal2 Department of Imaging Research, King Abdullah International Medical Research Center, King Saud bin Abdulaziz University for health Sciences, Riyadh, Saudi Arabia
&
Ahmed Almazroa2 Department of Imaging Research, King Abdullah International Medical Research Center, King Saud bin Abdulaziz University for health Sciences, Riyadh, Saudi ArabiaCorrespondence[email protected] [email protected]
ORCID Iconhttps://orcid.org/0000-0002-8854-6344
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Pages 747-764 | Published online: 11 Mar 2022

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Xiaoxiao Guo, Runkuan Li, Xiuzhen Lu, Xiuyan Zhang, Qiuxin Wu, Qingmei Tian, Bin Guo, Guodong Tang, Jing Xu, Jiaojiao Feng, Lili Zhao, Saiguang Ling, Zhou Dong, Jike Song & Hongsheng Bi. (2023) Quantization of Optic Disc Characteristics in Young Adults Based on Artificial Intelligence. Current Eye Research 48:11, pages 1068-1077.
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Articles from other publishers (3)

Juan Wang & Bin Xia. (2022) CDRNet: accurate cup-to-disc ratio measurement with tight bounding box supervision in fundus photography using deep learning. Multimedia Tools and Applications 82:11, pages 16455-16477.
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Eugenia Moris, Nicolas Dazeo, Maria Paula Albina de Rueda, Francisco Filizzola, Nicolas Iannuzzo, Danila Nejamkin, Kevin Wignall, Mercedes Leguía, Ignacio Larrabide & Jose Ignacio Orlando. (2022) Assessing coarse-to-fine deep learning models for optic disc and cup segmentation in fundus images. Assessing coarse-to-fine deep learning models for optic disc and cup segmentation in fundus images.
Gendry Alfonso-Francia, Jesus Carlos Pedraza-Ortega, Mariana Badillo-Fernández, Manuel Toledano-Ayala, Marco Antonio Aceves-Fernandez, Juvenal Rodriguez-Resendiz, Seok-Bum Ko & Saul Tovar-Arriaga. (2022) Performance Evaluation of Different Object Detection Models for the Segmentation of Optical Cups and Discs. Diagnostics 12:12, pages 3031.
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