Cargando…

Association between metabolic risk factors and optic disc cupping identified by deep learning method

PURPOSE: This study aims to investigate correlation between metabolic risk factors and optic disc cupping and the development of glaucoma. METHODS: This study is a retrospective, cross-sectional study with over 20-year-old patients that underwent health screening examinations. Intraocular pressure (...

Descripción completa

Detalles Bibliográficos
Autores principales:	Shin, Jonghoon, Kang, Min Seung, Park, Keunheung, Lee, Jong Soo
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2020
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7498045/ https://www.ncbi.nlm.nih.gov/pubmed/32941514 http://dx.doi.org/10.1371/journal.pone.0239071

Ejemplares similares

Automatic optic nerve head localization and cup-to-disc ratio detection using state-of-the-art deep-learning architectures
por: Park, Keunheung, et al.
Publicado: (2020)

Visual Field Inference From Optical Coherence Tomography Using Deep Learning Algorithms: A Comparison Between Devices
por: Shin, Jonghoon, et al.
Publicado: (2021)

An Efficient Deep Learning Approach to Automatic Glaucoma Detection Using Optic Disc and Optic Cup Localization
por: Nawaz, Marriam, et al.
Publicado: (2022)

Machine Learning and Deep Learning Techniques for Optic Disc and Cup Segmentation – A Review
por: Alawad, Mohammed, et al.
Publicado: (2022)

Identifying Those at Risk of Glaucoma: A Deep Learning Approach for Optic Disc and Cup Segmentation and Their Boundary Analysis
por: Kim, Jongwoo, et al.
Publicado: (2022)

Identifying the Edges of the Optic Cup and the Optic Disc in Glaucoma Patients by Segmentation
por: Tadisetty, Srikanth, et al.
Publicado: (2023)

A Retrospective Comparison of Deep Learning to Manual Annotations for Optic Disc and Optic Cup Segmentation in Fundus Photographs
por: Fu, Huazhu, et al.
Publicado: (2020)

Mixed Maximum Loss Design for Optic Disc and Optic Cup Segmentation with Deep Learning from Imbalanced Samples
por: Xu, Yong-li, et al.
Publicado: (2019)

A deep learning approach to predict visual field using optical coherence tomography
por: Park, Keunheung, et al.
Publicado: (2020)

Clinical characteristics of nonglaucomatous optic disc cupping
por: ZHANG, YI-XIN, et al.
Publicado: (2014)

Long term change of the optic disc and OCT parameters during myopic shift in children with large cup to disc ratio
por: Ahn, Ye Jin, et al.
Publicado: (2020)

Relationship between corneal biomechanical properties and structural biomarkers in patients with normal-tension glaucoma: a retrospective study
por: Park, Keunheung, et al.
Publicado: (2018)

Relationship between peripapillary vessel density and visual function based on Garway-Heath sectorization in open-angle glaucoma
por: Kwon, Jeong Min, et al.
Publicado: (2021)

The impact of anthropometric and ocular parameters on optic cup-to-disc ratio
por: Fukuoka, Hideki, et al.
Publicado: (2017)

The effect of parental factors in children with large cup-to-disc ratios
por: Park, Hae-Young Lopilly, et al.
Publicado: (2017)

Joint optic disc and cup segmentation based on densely connected depthwise separable convolution deep network
por: Liu, Bingyan, et al.
Publicado: (2021)

A Case of Optic Nerve Atrophy with Severe Disc Cupping after Methanol Poisoning
por: Shin, Yong Woon, et al.
Publicado: (2011)

Retinoschisis and macular detachment associated with acquired enlarged optic disc cup
por: Moreno-López, María, et al.
Publicado: (2012)

Segmentation of Optic Disc and Cup Using Modified Recurrent Neural Network
por: Surendiran, J., et al.
Publicado: (2022)

Optic Disc and Optic Cup Segmentation Methodologies for Glaucoma Image Detection: A Survey
por: Almazroa, Ahmed, et al.
Publicado: (2015)

Deep-learning-based enhanced optic-disc photography
por: Ha, Ahnul, et al.
Publicado: (2020)

Associations between Optic Cup-to-disc Ratio and Systemic Factors in the Healthy Korean Population
por: Kim, Yang Jae, et al.
Publicado: (2015)

Association between cognitive function and large optic nerve cupping, accounting for cup-disc-ratio genetic risk score
por: Kravets, Sasha, et al.
Publicado: (2022)

Performance Evaluation of Different Object Detection Models for the Segmentation of Optical Cups and Discs
por: Alfonso-Francia, Gendry, et al.
Publicado: (2022)

Computer-aided recognition of myopic tilted optic disc using deep learning algorithms in fundus photography
por: Cho, Baek Hwan, et al.
Publicado: (2020)

Optic disc cupping characteristics of normal pressure hydrocephalus patients with normal-tension glaucoma
por: Igarashi, Nozomi, et al.
Publicado: (2019)

Automatic Method for Optic Disc Segmentation Using Deep Learning on Retinal Fundus Images
por: Septiarini, Anindita, et al.
Publicado: (2023)

Rim-to-Disc Ratio Outperforms Cup-to-Disc Ratio for Glaucoma Prescreening
por: Kumar, J. R. Harish, et al.
Publicado: (2019)

Unsupervised Domain Adaptation with Shape Constraint and Triple Attention for Joint Optic Disc and Cup Segmentation
por: Zhang, Fengming, et al.
Publicado: (2022)

A Precise Method to Evaluate 360 Degree Measures of Optic Cup and Disc Morphology in an African American Cohort and Its Genetic Applications
por: Addis, Victoria, et al.
Publicado: (2021)

Optic Disc Change during Childhood Myopic Shift: Comparison between Eyes with an Enlarged Cup-To-Disc Ratio and Childhood Glaucoma Compared to Normal Myopic Eyes
por: Park, Hae-Young Lopilly, et al.
Publicado: (2015)

An efficient optic cup segmentation method decreasing the influences of blood vessels
por: Yang, Chunlan, et al.
Publicado: (2018)

Distribution of cup-disc ratio in a Swedish population
por: Svedberg, Edvin, et al.
Publicado: (2023)

Correction: Optic Disc Change during Childhood Myopic Shift: Comparison between Eyes with an Enlarged Cup-To-Disc Ratio and Childhood Glaucoma Compared to Normal Myopic Eyes
por: Park, Hae-Young Lopilly, et al.
Publicado: (2015)

Correction: Optic Disc Change during Childhood Myopic Shift: Comparison between Eyes with an Enlarged Cup-To-Disc Ratio and Childhood Glaucoma Compared to Normal Myopic Eyes
por: Park, Hae-Young Lopilly, et al.
Publicado: (2016)

Letter to the Editor: A Case of Optic Nerve Atrophy with Severe Disc Cupping after Methanol Poisoning
por: Sanaei-Zadeh, Hossein, et al.
Publicado: (2011)

A Novel Adaptive Deformable Model for Automated Optic Disc and Cup Segmentation to Aid Glaucoma Diagnosis
por: Haleem, Muhammad Salman, et al.
Publicado: (2017)

Deep learning on fundus images detects glaucoma beyond the optic disc
por: Hemelings, Ruben, et al.
Publicado: (2021)

Evaluation of subjects with a moderate cup to disc ratio using optical coherence tomography and Heidelberg retina tomograph 3: Impact of the disc area
por: Ulaş, Fatih, et al.
Publicado: (2015)

Screening fundus photography predicts and reveals risk factors for glaucoma conversion in eyes with large optic disc cupping
por: Kim, Yong Woo, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_qne0h20hj6ftg0sqr61u58uso5