Deep learning approaches to predict 10-2 visual field from wide-field swept-source optical coherence tomography en face images in glaucoma

Article Ophthalmology

Predicting Visual Fields From Optical Coherence Tomography via an Ensemble of Deep Representation Learners

Georgios Lazaridis et al.

Summary: A deep learning method was developed to predict visual function using SD-OCT-derived measurements and images. The method showed excellent accuracy and outperformed other approaches in predicting VF sensitivity.

AMERICAN JOURNAL OF OPHTHALMOLOGY (2022)

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Article Multidisciplinary Sciences

Pre-processing methods in chest X-ray image classification

Agata Gielczyk et al.

Summary: This study utilized machine learning for chest X-ray image classification and achieved high accuracy results through improved pre-processing methods.

PLOS ONE (2022)

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Article Ophthalmology

Deep learning model to predict visual field in central 10° from optical coherence tomography measurement in glaucoma

Yohei Hashimoto et al.

Summary: By combining deep learning model with SD-OCT, the DL model accurately predicts the HFA 10-2 visual field. Compared to support vector machine and multiple linear regression, CNN has smaller prediction errors and more accurate results.

BRITISH JOURNAL OF OPHTHALMOLOGY (2021)

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Article Multidisciplinary Sciences

Plasma Hsp90 levels in patients with systemic sclerosis and relation to lung and skin involvement: a cross-sectional and longitudinal study

Hana Storkanova et al.

Summary: According to the study, plasma levels of Hsp90 are increased in patients with systemic sclerosis compared to healthy controls, and are associated with increased inflammatory activity, worsened lung function, and extent of skin involvement in patients with diffuse cutaneous systemic sclerosis. In patients with systemic sclerosis-associated interstitial lung disease treated with cyclophosphamide, baseline Hsp90 levels can predict changes in DLCO over 12 months of therapy.

SCIENTIFIC REPORTS (2021)

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Article Public, Environmental & Occupational Health

Causes of blindness and vision impairment in 2020 and trends over 30 years, and prevalence of avoidable blindness in relation to VISION 2020: the Right to Sight: an analysis for the Global Burden of Disease Study

Jaimie D. Steinmetz et al.

Summary: The study assessed the prevalence and relative contribution of avoidable causes of blindness and vision impairment globally from 1990 to 2020, finding that there was no change in the global prevalence of avoidable blindness and vision impairment in adults aged 50 and older. Although the age-standardized prevalence of avoidable blindness decreased, avoidable moderate and severe vision impairment did not change.

LANCET GLOBAL HEALTH (2021)

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Article Ophthalmology

Predicting 10-2 Visual Field From Optical Coherence Tomography in Glaucoma Using Deep Learning Corrected With 24-2/30-2 Visual Field

Yohei Hashimoto et al.

Summary: The study demonstrated that the performance of a deep learning model to predict 10-2 VF from macular OCT measurements can be improved by correction with HFA 24-2/30-2, leading to reduced prediction errors.

TRANSLATIONAL VISION SCIENCE & TECHNOLOGY (2021)

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Article Ophthalmology

Deep Learning-based Diagnosis of Glaucoma Using Wide-field Optical Coherence Tomography Images

Younji Shin et al.

Summary: The study evaluated the performance of deep learning classifier in detecting glaucoma based on wide-field SS-OCT images and compared the diagnostic abilities of DL-based fusion methods with conventional parameter-based methods. The results demonstrated that DL fusion methods outperformed traditional methods in terms of AUC and accuracy, showing promising potential in diagnosing glaucoma.

JOURNAL OF GLAUCOMA (2021)

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Article Ophthalmology

Visual Field Inference FromOptical Coherence Tomography Using Deep Learning Algorithms: A Comparison Between Devices

Jonghoon Shin et al.

Summary: This study developed a deep learning model to estimate visual field from OCT images and found that SS-OCT performed better than SD-OCT in the estimation of VF. SS-OCT showed superior performance in various sectors and glaucoma severities, indicating potential clinical benefits in using deep learning methods for VF estimation.

TRANSLATIONAL VISION SCIENCE & TECHNOLOGY (2021)

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Article Ophthalmology

Deep Learning Approaches Predict Glaucomatous Visual Field Damage from OCT Optic Nerve Head En Face Images and Retinal Nerve Fiber Layer Thickness Maps

Mark Christopher et al.

OPHTHALMOLOGY (2020)

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Article Multidisciplinary Sciences

A deep learning approach to predict visual field using optical coherence tomography

Keunheung Park et al.

PLOS ONE (2020)

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Article Ophthalmology

Prediction of visual field from swept-source optical coherence tomography using deep learning algorithms

Keunheung Park et al.

GRAEFES ARCHIVE FOR CLINICAL AND EXPERIMENTAL OPHTHALMOLOGY (2020)

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Article Computer Science, Information Systems

Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms

Morteza Heidari et al.

INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS (2020)

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Review Computer Science, Information Systems

Visual interpretability for deep learning: a survey

Quan-shi Zhang et al.

FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING (2018)

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Article Ophthalmology

Can Probability Maps of Swept-Source Optical Coherence Tomography Predict Visual Field Changes in Preperimetric Glaucoma?

Won June Lee et al.

INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE (2017)

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Article Ophthalmology

The relationship between central visual field sensitivity and macular ganglion cell/inner plexiform layer thickness in glaucoma

Ji-Woong Lee et al.

BRITISH JOURNAL OF OPHTHALMOLOGY (2017)

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Article Ophthalmology

The Impact of Visual Field Clusters on Performance-based Measures and Vision-Related Quality of Life in Patients With Glaucoma

Yi Sun et al.

AMERICAN JOURNAL OF OPHTHALMOLOGY (2016)

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Article Ophthalmology

A Single Wide-Field OCT Protocol Can Provide Compelling Information for the Diagnosis of Early Glaucoma

Donald C. Hood et al.

TRANSLATIONAL VISION SCIENCE & TECHNOLOGY (2016)

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Article Ophthalmology

The 24-2 Visual Field Test Misses Central Macular Damage Confirmed by the 10-2 Visual Field Test and Optical Coherence Tomography

Lola M. Grillo et al.

TRANSLATIONAL VISION SCIENCE & TECHNOLOGY (2016)

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Article Ophthalmology

Changes in Retinal Nerve Fiber Layer Reflectance Intensity as a Predictor of Functional Progression in Glaucoma

Stuart K. Gardiner et al.

INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE (2016)

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Article Ophthalmology

Macular structure-function relationship at various spatial locations in glaucoma

Soa Kim et al.

BRITISH JOURNAL OF OPHTHALMOLOGY (2015)

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Article Ophthalmology

Influence of the Retinal Blood Vessel Topography on the Variability of the Retinal Nerve Fiber Bundle Trajectories in the Human Retina

Kunliang Qiu et al.

INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE (2015)

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Article Ophthalmology

Details of Glaucomatous Damage Are Better Seen on OCT En Face Images Than on OCT Retinal Nerve Fiber Layer Thickness Maps

Donald C. Hood et al.

INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE (2015)

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Article Ophthalmology

Defining 10-2 Visual Field Progression Criteria Exploratory and Confirmatory Factor Analysis Using Pointwise Linear Regression

Carlos Gustavo de Moraes et al.

OPHTHALMOLOGY (2014)

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Article Ophthalmology

Prevalence and Nature of Early Glaucomatous Defects in the Central 10° of the Visual Field

Ilana Traynis et al.

JAMA OPHTHALMOLOGY (2014)

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Article Ophthalmology

Glaucomatous damage of the macula

Donald C. Hood et al.

PROGRESS IN RETINAL AND EYE RESEARCH (2013)

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Article Ophthalmology

Correlation Between the Ganglion Cell-Inner Plexiform Layer Thickness Measured With Cirrus HD-OCT and Macular Visual Field Sensitivity Measured With Microperimetry

Shino Sato et al.

INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE (2013)

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Article Ophthalmology

Retinal nerve fibre layer and visual function loss in glaucoma: the tipping point

Gadi Wollstein et al.

BRITISH JOURNAL OF OPHTHALMOLOGY (2012)

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Article Ophthalmology

Structure-Function Relationship of the Macular Visual Field Sensitivity and the Ganglion Cell Complex Thickness in Glaucoma

Jung Hwa Na et al.

INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE (2012)

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Article Ophthalmology

Variation in Optic Nerve and Macular Structure with Age and Race with Spectral-Domain Optical Coherence Tomography

Christopher A. Girkin et al.

OPHTHALMOLOGY (2011)

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Article Ophthalmology

Assessing Quality of Life in Patients With Glaucoma Using the Glaucoma Quality of Life-15 (GQL-15) Questionnaire

Ivan Goldberg et al.

JOURNAL OF GLAUCOMA (2009)

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Article Ophthalmology

A framework for comparing structural and functional measures of glaucomatous damage

Donald C. Hood et al.

PROGRESS IN RETINAL AND EYE RESEARCH (2007)

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Article Ophthalmology

The definition and classification of glaucoma in prevalence surveys

PJ Foster et al.

BRITISH JOURNAL OF OPHTHALMOLOGY (2002)

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Deep learning approaches to predict 10-2 visual field from wide-field swept-source optical coherence tomography en face images in glaucoma

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