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Literature Review on Artificial Intelligence Methods for Glaucoma Screening, Segmentation, and Classification

José Camara, Alexandre Neto, Ivan Miguel Pires, María Vanessa Villasana, Eftim Zdravevski, António Cunha
2022 Journal of Imaging  
These techniques have been shown to have high sensitivity and specificity in glaucoma screening based on papilla and excavation images.  ...  As a result, we verified whether deep learning techniques may be helpful in performing accurate and low-cost measurements related to glaucoma, which may promote patient empowerment and help medical doctors  ...  After the optic disc and cup segmentation, the cup-to-disc ratio can be calculated and used to estimate glaucoma.  ... 
doi:10.3390/jimaging8020019 pmid:35200722 pmcid:PMC8878383 fatcat:fhzgoadxl5bjpoaddg7y752iay

Table of Contents

2020 IEEE journal of biomedical and health informatics  
Zhang 1093 Imaging Informatics Direct Cup-to-Disc Ratio Estimation for Glaucoma Screening via Semi-Supervised Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Better Estimation of Functional Brain Network for Mild Cognitive Impairment Identification: A Transfer Learning View . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/jbhi.2020.2975866 fatcat:ueldkp6h25eipb7nrkfjs2xdia

REFUGE2 Challenge: Treasure for Multi-Domain Learning in Glaucoma Assessment [article]

Huihui Fang, Fei Li, Huazhu Fu, Xu Sun, Xingxing Cao, Jaemin Son, Shuang Yu, Menglu Zhang, Chenglang Yuan, Cheng Bian, Baiying Lei, Benjian Zhao (+16 others)
2022 arXiv   pre-print
Color fundus photography is the most cost effective imaging modality to screen for ocular diseases.  ...  Moreover, three sub-tasks were designed in the challenge, including glaucoma classification, cup/optic disc segmentation, and macular fovea localization.  ...  Distribution of Dice values for (A) optic disc, (B) optic cup, and (C) mean absolute error (MAE) of the estimated vertical cup-to-disc-ratio (vCDR).  ... 
arXiv:2202.08994v2 fatcat:os4kkur7vvasbavvnjj7z5mlmu

CDED-Net: Joint Segmentation of Optic Disc and Optic Cup for Glaucoma Screening

Munazza Tabassum, Tariq M. Khan, Muhammad Arslan, Syed S. Naqvi, Mansoor Ahmed, Hussain Ahmed Madni, Jawad Mirza
2020 IEEE Access  
Color fundus photography is used for examining the optic disc (OD) which is an important step in the diagnoses of glaucoma. This is done by estimating the cup-to-disc ratio (CDR).  ...  In this paper, we proposed a Cup Disc Encoder Decoder Network (CDED-Net) for the joint segmentation of optic disc (OD) and optic cup (OC).  ...  Furthermore, they would also like to thank the expert's for taking the time to establish the ground truth images.  ... 
doi:10.1109/access.2020.2998635 fatcat:bhxcz5tqqvhgdfex4ewaqhv2b4

Machine Learning Techniques for Ophthalmic Data Processing: A Review

Mhd Hasan Sarhan, Mohammad Ali Nasseri, Daniel Zapp, Mathias Maier, Chris Lohmann, Nassir Navab, Abouzar Eslami
2020 IEEE journal of biomedical and health informatics  
Machine learning approaches that use eye measurements and visual field data for glaucoma detection are also included in the survey.  ...  This article reviews machine learning approaches proposed for diagnosing ophthalmic diseases during the last four years.  ...  , or (3) assessing the damage of the optic nerve by calculating the cup-to-disc ratio (CDR).  ... 
doi:10.1109/jbhi.2020.3012134 pmid:32750971 fatcat:f4mmjk2ferduzbkpza4hoizzjq

Retinal Imaging and Image Analysis

Michael D. Abramoff, Mona K. Garvin, Milan Sonka
2010 IEEE Reviews in Biomedical Engineering  
of optic nerve head (ONH) shape, building retinal atlases, and to automated methods for population screening for retinal diseases.  ...  The described methods cover the developments of the past decade and were selected with respect to their potential for screening-motivated computer-aided detection of retinal abnormalities as well as for  ...  for Vision Research, University of Iowa, by the Department of Veterans' Affairs Center of Excellence for the Treatment and Prevention of Visual Loss, and by the Department of Veterans' Affairs Merit program  ... 
doi:10.1109/rbme.2010.2084567 pmid:22275207 pmcid:PMC3131209 fatcat:5tnyvgeujfhovkwlmasuf7huja

2020 Index IEEE Journal of Biomedical and Health Informatics Vol. 24

2020 IEEE journal of biomedical and health informatics  
., A Globalized Model for Mapping Wearable Seismocardiogram Signals to Whole-Body Ballistocardiogram Signals Based on Deep Learning; JBHI May 2020 1296-1309 Herskovic, V., see Saint-Pierre, C., JBHI Jan  ...  -2052 Hong, H., see 2833-2843 Hong, H., see Xue, B., JBHI Feb. 2020 614-625 Hoog Antink, C., Mai, Y., Aalto, R., Bruser, C., Leonhardt, S., Oksala, N., and Vehkaoja, A., Ballistocardiography Can Estimate  ...  Qin, P., +, JBHI April 2020 1028-1036 Direct Cup-to-Disc Ratio Estimation for Glaucoma Screening via Semi-Supervised Learning.  ... 
doi:10.1109/jbhi.2020.3048808 fatcat:iifrkwtzazdmboabdqii7x5ukm

A review of feature-based retinal image analysis

Kirsty C Jordan, Matteo Menolotto, Nigel M Bolster, Iain AT Livingstone, Mario E Giardini
2017 Expert Review of Ophthalmology  
The potential use of retinal imaging within screening programs, with consequent need to analyze large numbers of images with high throughput, is pushing the digital image analysis field to find new solutions  ...  for the extraction of specific information from the retinal image.  ...  The main advantage of this technique was its invariance to the quality of the image and the noise content, providing a more robust segmentation for cup to disc ratio measurements.  ... 
doi:10.1080/17469899.2017.1307105 fatcat:5eyenzltwvgrxnfksfbokmbd7m

Application of generative adversarial networks (GAN) for ophthalmology image domains: a survey

Aram You, Jin Kuk Kim, Ik Hee Ryu, Tae Keun Yoo
2022 Eye and Vision  
Finally, this survey would enable researchers to access the appropriate GAN technique to maximize the potential of ophthalmology datasets for deep learning research.  ...  to be overcome for practical use.  ...  In addition, accurate cup-to-disc ratio calculation based on optic disc segmentation is an important problem for evaluating optic nerve damage and glaucoma.  ... 
doi:10.1186/s40662-022-00277-3 pmid:35109930 pmcid:PMC8808986 fatcat:z3oycm6ybrbs5bgrinxqba6g64

The quantification of the visual field in computer-assisted threshold perimetry [chapter]

J. M. Wild, J. M. Wood, M. K. Hussey, S. J. Crews
1987 Seventh International Visual Field Symposium, Amsterdam, September 1986  
Fankhauser Acknowledgements The authors wish to thank Glaucoma Research and Education Foundation for its partial support of this project and its volunteers who served as subjects They sincerely appreciate  ...  Acknowledgements The authors are indebted to P Schneider and CH. Langenegger for help with the figures and C. Rutishauser for her assistance with the poster. They would also like to thank Prof. F.  ...  Rim area was better in separating normals and patients with glaucoma than cup/disc ratio [4] .  ... 
doi:10.1007/978-94-009-3325-5_26 fatcat:e6ffftom5ngchh65vmckbi36p4

A Stress Syndrome Prototype Reflects Type 3 Diabetes and Ischemic Stroke Risk: The SABPA Study

Leoné Malan, Mark Hamer, Roland von Känel, Roelof D. van Wyk, Anne E. Sumner, Peter M. Nilsson, Gavin W. Lambert, Hendrik S. Steyn, Casper J. Badenhorst, Nico T. Malan
2021 Biology  
/disc ratio (C/D) compared to the non-Stressed group.  ...  The Stress syndrome prototype reflected risk for HOMA-IR (odds ratio (OR) 7.72) and retinal glia ischemia (OR 1.27) and vein widening (OR 1.03).  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ... 
doi:10.3390/biology10020162 pmid:33670473 fatcat:5k42tzsjlrdrteuat56avebupy

Understanding and living with glaucoma and non-communicable diseases like hypertension and diabetes in the Jhaukhel-Duwakot Health Demographic Surveillance Site: a qualitative study from Nepal

Suraj Shakya-Vaidya, Lene Povlsen, Binjwala Shrestha, Andrej M. Grjibovski, Alexandra Krettek
2014 Global Health Action  
2014 Cover photo exemplifies a simulated vision of advanced glaucoma obscuring peripheral vision in a street view. © Aman Anand Shakya PRIMARY OPEN ANGLE GLAUCOMA IN NEPAL Exploring the unknown © Suraj  ...  Vertical cup-to-disc ratio (VCDR) was measured as the parameter to determine structural damage to the glaucomatous optic nerve head.  ...  Figure 7 : 7 Vertical cup-to-disc ratio (VCDR) and intraocula1qar pressure(IOP) Mean VCDR in men and women was 0.7 (SD=0.18) and 0.6 (SD=0.21), respectively; p=0.999.  ... 
doi:10.3402/gha.v7.25358 pmid:25361727 pmcid:PMC4212074 fatcat:xobd34m6grej5my3qxjgs6zhiu

Abstracts of the 7th International Congress on Glaucoma Surgery

Tarek Shaarawy
2014 Asian Journal of Ophthalmology  
diameters,.cup area,cup area/disc area ratio,neuroretinal rim(NRR) thickness,cup/disc ratio and neuroretinal rim area,were measured.  ...  Mean value of the cup/disc ratio in group 1 was 0.67+_0.08 and in group 2, 0.47+_0.47.Mean value of cup area/disc area ratio in group 1 was 0.4+_0.12 and in group 2 ,0.24+_0.08.  ...  a computer screen to simulate a sensation of movement if there is a structural alteration.  ... 
doi:10.35119/asjoo.v13i3.127 fatcat:kddncxxuobaubnibvyjrbugkyy

A Review of Algorithms for Segmentation of Retinal Image Data Using Optical Coherence Tomography [chapter]

Delia Cabrera
2011 Image Segmentation  
In addition, two glaucoma experts annotated the cup and rim area in stero-color photographs using planimetry to create the reference standard for evaluation Unsigned error for the optic disc  ...  In addition, the correlation between algorithm- determined cup to- disc (c/d) ratio and planimetry- derived c/d by 3 experts was calculated for evaluation purposes The correlation of algorithm  ... 
doi:10.5772/15833 fatcat:z5au7rekmrgkjhfzd7kpyl35ja

Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation [article]

Nima Tajbakhsh, Laura Jeyaseelan, Qian Li, Jeffrey Chiang, Zhihao Wu, Xiaowei Ding
2020 arXiv   pre-print
body of research has studied the problem of medical image segmentation with imperfect datasets, tackling two major dataset limitations: scarce annotations where only limited annotated data is available for  ...  However, rarely do we have a perfect training dataset, particularly in the field of medical imaging, where data and annotations are both expensive to acquire.  ...  The authors have used the area under the ROC curve for evaluating the binary glaucoma classification performance using the cup to disc ratio.  ... 
arXiv:1908.10454v2 fatcat:mjvfbhx75bdkbheysq3r7wmhdi
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