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Evaluating glaucoma damage: emerging imaging technologies

Tigran Kostanyan, Gadi Wollstein, Joel S Schuman
2015 Expert Review of Ophthalmology  
This review is focused on new ocular imaging modalities used for glaucoma diagnosis. glaucomatous structural damage.  ...  structural and functional characteristics of scanned tissue, new automated algorithms for image registration, segmentation, and analysis, and tools that allow sensitive detection of glaucoma progression  ...  Acknowledgements Supported in part by National Institutes of Health contracts R01-EY013178, P30-EY008098 (Bethesda, MD); Eye and Ear Foundation (Pittsburgh, PA); Research to Prevent Blindness (New York  ... 
doi:10.1586/17469899.2015.1012500 pmid:27087829 pmcid:PMC4830491 fatcat:ihfhjpmfe5a2vgu7ewc36zbvge

Relevance Vector Machine and Support Vector Machine Classifier Analysis of Scanning Laser Polarimetry Retinal Nerve Fiber Layer Measurements

Christopher Bowd, Felipe A. Medeiros, Zuohua Zhang, Linda M. Zangwill, Jiucang Hao, Te-Won Lee, Terrence J. Sejnowski, Robert N. Weinreb, Michael H. Goldbaum
2005 Investigative Ophthalmology and Visual Science  
To classify healthy and glaucomatous eyes using relevance vector machine (RVM) and support vector machine (SVM) learning classifiers trained on retinal nerve fiber layer (RNFL) thickness measurements obtained  ...  Results from RVM and SVM trained on SLP RNFL thickness measurements are similar and provide accurate classification of glaucomatous and healthy eyes.  ...  Eye (C) had a SAP MD of Ϫ8.53 dB and a PSD of FIGURE 4 . 4 Scanning laser polarimetry RNFL thickness maps from three eyes classified as glaucomatous based on visual field results (repeatable SAP Glaucoma  ... 
doi:10.1167/iovs.04-1122 pmid:15790898 pmcid:PMC2928387 fatcat:2p2vcu54svct3itgeendgtokza

Retinal assessment using optical coherence tomography

Rogério A. Costa, Mirian Skaf, Luiz A.S. Melo, Daniela Calucci, Jose A. Cardillo, Jarbas C. Castro, David Huang, Maciej Wojtkowski
2006 Progress in retinal and eye research  
Over the 15 years since the original description, optical coherence tomography (OCT) has become one of the key diagnostic technologies in the ophthalmic subspecialty areas of retinal diseases and glaucoma  ...  retinal abnormalities are grossly and easily noticeable; on the other hand, results are reproducible and exceedingly quantitative in the hands of the specialist.  ...  Four retinal layers were obtained and the algorithm was capable to discriminate between glaucomatous and normal eyes.  ... 
doi:10.1016/j.preteyeres.2006.03.001 pmid:16716639 fatcat:3iqwf7cyfjf7rfvxdcq5i4wzoq

Finding New Diagnostic Information for Detecting Glaucoma using Neural Networks [article]

Erfan Noury, Suria S. Mannil, Robert T. Chang, An Ran Ran, Carol Y. Cheung, Suman S. Thapa, Harsha L. Rao, Srilakshmi Dasari, Mohammed Riyazuddin, Dolly Chang, Sriharsha Nagaraj, Clement C. Tham (+1 others)
2020 arXiv   pre-print
First, we gathered a unique and diverse multi-ethnic dataset of OCT scans consisting of glaucoma and non-glaucomatous cases obtained from four tertiary care eye hospitals located in four different countries  ...  Using this longitudinal data, we achieved state-of-the-art results for automatically detecting Glaucoma from a single raw OCT using a 3D Deep Learning system.  ...  (a) Top, and (b) Side side view of saliency visualizations of a correctly classified glaucomatous eye. (c) Top, and (d) Side view of saliency visualizations of a correctly classified normal eye.  ... 
arXiv:1910.06302v2 fatcat:tejwi54mrrd5pnj2xc36lnmzh4

A Review on Glaucoma Disease Detection using Computerized Techniques

Faizan Abdullah, Rakhshanda Imtiaz, Hussain Ahmad Madni, Haroon Ahmed Khan, Tariq M. Khan, Mohammad A.U. Khan, Syed S. Naqvi
2021 IEEE Access  
This article aims to provide a comprehensive overview of various existing techniques that use machine learning to detect and diagnose glaucoma based on fundus images.  ...  Its diagnosis is dependent on the measurements of Optic Cup (OC) and Optic Disc (OD) in the retina.  ...  Correspondingly on the tomography images of non-glaucomatous, and glaucomatous retina, the optical coherence is retrained on 300 and 600.  ... 
doi:10.1109/access.2021.3061451 fatcat:lrg4fj4ixje2lilc3k7a33yl2u

Adaptive optics and the eye (super resolution OCT)

D T Miller, O P Kocaoglu, Q Wang, S Lee
2011 Eye (London. 1987)  
The technical benefits of adding AO to OCT (increased lateral resolution, smaller speckle, and enhanced sensitivity) increase the imaging capability of OCT in ways that make it well suited for three-dimensional  ...  Here, we present representative examples of cellular structures that can be visualized with AO-OCT.  ...  Acknowledgements This study was financially supported , in part, by the National Eye Institute grants 1R01EY018339, 5R01 EY014743, and P30 EY019008.  ... 
doi:10.1038/eye.2011.1 pmid:21390066 pmcid:PMC3113555 fatcat:zxkmgivd5jhd5gxmyxmrt5yveu

Towards Ophthalmologist Level Accurate Deep Learning System for OCT Screening and Diagnosis [article]

Mrinal Haloi
2018 arXiv   pre-print
We present a state of the art performance on the publicly available Mendeley OCT dataset.  ...  The proposed system is a very deep fully convolutional attentive classification network trained with end to end advanced transfer learning with online random augmentation.  ...  OCT RNFL measurements are reproducible and have been shown in cross-sectional studies to be able to discriminate glaucomatous from healthy eyes [7] .  ... 
arXiv:1812.07105v1 fatcat:ve2l72cqsbfglk3gahrcgyai2y

An evidence‐based approach to the routine use of optical coherence tomography

Angelica Ly, Jack Phu, Paula Katalinic, Michael Kalloniatis
2018 Clinical and experimental optometry  
patients, and the utility of optical coherence tomography angiography and machine learning.  ...  This article provides a clinical perspective on the implications of that movement and describes best practice using multimodal imaging and an evidence-based approach.  ...  ACKNOWLEDGEMENTS This work was supported, in part, by a grant from the National Health and Medical Research Council (NHMRC) of Australia (#1033224), Guide Dogs NSW/ACT is also a partner on the NHMRC grant  ... 
doi:10.1111/cxo.12847 pmid:30560558 pmcid:PMC6590481 fatcat:chjzyfzfxvhodgyswbb3h6qbx4

Diagnostic Accuracy of Pattern Electroretinogram Optimized for Glaucoma Detection

Christopher Bowd, Gianmarco Vizzeri, Ali Tafreshi, Linda M. Zangwill, Pamela A. Sample, Robert N. Weinreb
2009 Ophthalmology (Rochester, Minn.)  
Participants-One hundred forty two eyes of 71 participants (42 healthy and 29 with GON in at least one eye) enrolled in the University of California, San Diego, Diagnostic Innovations in Glaucoma Study  ...  Results-Sensitivity and specificity of the PERGLA normative database were 0.76 and 0.59, respectively, compared to 0.83 and 0.77 for SAP.  ...  ., and SANTEN Inc.  ... 
doi:10.1016/j.ophtha.2008.10.026 pmid:19167080 pmcid:PMC2664315 fatcat:vr4c4zeebzctnl2y2njfzi4bj4

Current applications of machine learning in the screening and diagnosis of glaucoma: a systematic review and Meta-analysis

Patrick Murtagh
2020 International Journal of Ophthalmology  
To compare the effectiveness of two well described machine learning modalities, ocular coherence tomography (OCT) and fundal photography, in terms of diagnostic accuracy in the screening and diagnosis  ...  For the studies which did not report an AUROC, reported sensitivity and specificity values were combined to create a summary ROC curve which was included in the Meta-analysis.  ...  They can supply us with information about change in thickness of the RNFL and can be used in differentiate glaucomatous from non-glaucomatous eyes [17] .  ... 
doi:10.18240/ijo.2020.01.22 pmid:31956584 pmcid:PMC6942952 fatcat:oykjqjtkf5evlc4nwomyfjhltq

Combining Functional and Structural Tests Improves the Diagnostic Accuracy of Relevance Vector Machine Classifiers

Lyne Racette, Christine Y. Chiou, Jiucang Hao, Christopher Bowd, Michael H. Goldbaum, Linda M. Zangwill, Te-Won Lee, Robert N. Weinreb, Pamela A. Sample
2010 Journal of glaucoma  
glaucomatous eyes compared to using each test alone.  ...  Methods-One eye of 144 glaucoma patients and 68 healthy controls from the Diagnostic Innovations in Glaucoma Study were included.  ...  Acknowledgments This research was supported by grants from the National Eye Institute, NIH EY08208 (PAS), NIH EY11008 (LMZ) and NIH EY13928 (MHG).  ... 
doi:10.1097/ijg.0b013e3181a98b85 pmid:19528827 pmcid:PMC2891254 fatcat:sxbp6q4hdfc53iuqkmwp4c5cli

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.  ...  Furthermore, the recent machine learning approaches used for retinal vessels segmentation, and methods of retinal layers and fluid segmentation are reviewed.  ...  The measurements included ocular pressure and corneal thickness measurement as general exams, OCT scan for retinal nerve fiber layer (RNFL) thickness, and visual field (VF) exam.  ... 
doi:10.1109/jbhi.2020.3012134 pmid:32750971 fatcat:f4mmjk2ferduzbkpza4hoizzjq

Lateral thinking – Interocular symmetry and asymmetry in neurovascular patterning, in health and disease

James R. Cameron, Roly D. Megaw, Andrew J. Tatham, Sarah McGrory, Thomas J. MacGillivray, Fergus N. Doubal, Joanna M. Wardlaw, Emanuele Trucco, Siddharthan Chandran, Baljean Dhillon
2017 Progress in retinal and eye research  
This review explores the evidence for eye and visual pathway asymmetry, in health and in disease, and attempts to provide guidance for those studying the structure and function of the visual system, where  ...  Highlights • Our eyes and visual system are asymmetric, in development and in disease • Normative data for OCT and other imaging technologies needs to reflect asymmetry • Additional work is needed to elucidate  ...  A recent pilot study, which examined sleep position in glaucoma patients, did report lower cpRNFL thickness and worse visual field sensitivity in the left eye, which seemed to correlate to increased time  ... 
doi:10.1016/j.preteyeres.2017.04.003 pmid:28457789 fatcat:pgflywpvlfbpnflu6kj6ekmeua

Estimating Visual Field Mean Deviation using Optical Coherence Tomographic Nerve Fiber Layer Measurements in Glaucoma Patients

Ou Tan, David S. Greenfield, Brian A. Francis, Rohit Varma, Joel S. Schuman, David Huang
2019 Scientific Reports  
In summary, OCT-based NFL_MD has better correlation with VF_MD and greater diagnostic sensitivity than the average NFL thickness.  ...  From the Advanced Imaging for Glaucoma study, 245 normal, 420 pre-perimetric glaucoma (PPG), and 289 perimetric glaucoma (PG) eyes were selected.  ...  Acknowledgements NIH grants R01 EY013516, R01 EY023285, R21EY027007 and P30 EY010572, Champalimaud Foundation, and an unrestricted grant from Research to Prevent Blindness to Casey Eye Institute.  ... 
doi:10.1038/s41598-019-54792-w pmid:31811166 pmcid:PMC6898302 fatcat:slc6phgt2rbq3es6vav72qdpai

A Review on the optic disc and optic cup segmentation and classification approaches over retinal fundus images for detection of glaucoma

H N Veena, A Muruganandham, T Senthil Kumaran
2020 SN Applied Sciences  
The glaucoma detection is performed based on the optic disc and optic cup parameters on the retinal part of the eye.  ...  Glaucoma is one of the leading severe retinal disease which damages the optic nerve head on the retinal part of the eye irreversibly.  ...  - tion CDR, NRR thickness, ML thickness, and ISNT rule are calculated Performance classification based on all three RGB channels Histogram equalization is applied separately for all three channels Over  ... 
doi:10.1007/s42452-020-03221-z fatcat:7kp762l3yrhchpdwe6vbnubeka
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