Cargando…

Automated Glaucoma Screening and Diagnosis Based on Retinal Fundus Images Using Deep Learning Approaches: A Comprehensive Review

Glaucoma is a chronic eye disease that may lead to permanent vision loss if it is not diagnosed and treated at an early stage. The disease originates from an irregular behavior in the drainage flow of the eye that eventually leads to an increase in intraocular pressure, which in the severe stage of...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zedan, Mohammad J. M., Zulkifley, Mohd Asyraf, Ibrahim, Ahmad Asrul, Moubark, Asraf Mohamed, Kamari, Nor Azwan Mohamed, Abdani, Siti Raihanah
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Review
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10340208/ https://www.ncbi.nlm.nih.gov/pubmed/37443574 http://dx.doi.org/10.3390/diagnostics13132180

Ejemplares similares

Intelligent Bone Age Assessment: An Automated System to Detect a Bone Growth Problem Using Convolutional Neural Networks with Attention Mechanism
por: Zulkifley, Mohd Asyraf, et al.
Publicado: (2021)

Group and Shuffle Convolutional Neural Networks with Pyramid Pooling Module for Automated Pterygium Segmentation
por: Abdani, Siti Raihanah, et al.
Publicado: (2021)

Residual-Shuffle Network with Spatial Pyramid Pooling Module for COVID-19 Screening
por: Zulkifley, Mohd Asyraf, et al.
Publicado: (2021)

Computer-Assisted Pterygium Screening System: A Review
por: Abdani, Siti Raihanah, et al.
Publicado: (2022)

Optimal Compact Network for Micro-Expression Analysis System
por: Sie-Min, Koo, et al.
Publicado: (2022)

A Review of Deep Learning Techniques for Lung Cancer Screening and Diagnosis Based on CT Images
por: Thanoon, Mohammad A., et al.
Publicado: (2023)

A Non-Convex Economic Dispatch Problem with Point-Valve Effect Using a Wind-Driven Optimisation Approach
por: Ramli, Nur Fariza, et al.
Publicado: (2021)

Enhancement of Ultrasound B-Mode Image Quality Using Nonlinear Filtered-Multiply-and-Sum Compounding for Improved Carotid Artery Segmentation
por: Mohamed Moubark, Asraf, et al.
Publicado: (2023)

Optimal Training Configurations of a CNN-LSTM-Based Tracker for a Fall Frame Detection System
por: Mohamed, Nur Ayuni, et al.
Publicado: (2021)

A Novel Sample Based Quadrature Phase Shift Keying Demodulator
por: Mohamed Moubark, Asraf, et al.
Publicado: (2014)

Sudden Event Recognition: A Survey
por: Suriani, Nor Surayahani, et al.
Publicado: (2013)

The many challenges in automated glaucoma diagnosis based on fundus imaging
por: Krishnadas, R
Publicado: (2021)

Automated diagnosis of diabetic retinopathy and glaucoma using fundus and OCT images
por: Pachiyappan, Arulmozhivarman, et al.
Publicado: (2012)

An Automated Tracking Approach for Extraction of Retinal Vasculature in Fundus Images
por: Osareh, Alireza, et al.
Publicado: (2010)

Robust Foreground Detection: A Fusion of Masked Grey World, Probabilistic Gradient Information and Extended Conditional Random Field Approach
por: Zulkifley, Mohd Asyraf, et al.
Publicado: (2012)

Robust Observation Detection for Single Object Tracking: Deterministic and Probabilistic Patch-Based Approaches
por: Zulkifley, Mohd Asyraf, et al.
Publicado: (2012)

A fast and fully automated system for glaucoma detection using color fundus photographs
por: Saha, Sajib, et al.
Publicado: (2023)

Metamaterial based on an inverse double V loaded complementary square split ring resonator for radar and Wi-Fi applications
por: Islam, Md. Rashedul, et al.
Publicado: (2021)

Predicting sex from retinal fundus photographs using automated deep learning
por: Korot, Edward, et al.
Publicado: (2021)

A Comprehensive Study of Retinal Vessel Classification Methods in Fundus Images
por: Miri, Maliheh, et al.
Publicado: (2017)

A generalizable deep learning regression model for automated glaucoma screening from fundus images
por: Hemelings, Ruben, et al.
Publicado: (2023)

Micro-Expression-Based Emotion Recognition Using Waterfall Atrous Spatial Pyramid Pooling Networks
por: Stofa, Marzuraikah Mohd, et al.
Publicado: (2022)

Telepointer technology in telemedicine : a review
por: Karim, Rohana Abdul, et al.
Publicado: (2013)

Data on OCT and fundus images for the detection of glaucoma
por: Raja, Hina, et al.
Publicado: (2020)

Robust Identification of Polyethylene Terephthalate (PET) Plastics through Bayesian Decision
por: Zulkifley, Mohd Asyraf, et al.
Publicado: (2014)

An Automated Approach for Localizing Retinal Blood Vessels in Confocal Scanning Laser Ophthalmoscopy Fundus Images
por: Kromer, Robert, et al.
Publicado: (2016)

Fractal dimension of retinal vasculature as an image quality metric for automated fundus image analysis systems
por: Lyu, Xingzheng, et al.
Publicado: (2022)

Automated diagnosing primary open-angle glaucoma from fundus image by simulating human’s grading with deep learning
por: Lin, Mingquan, et al.
Publicado: (2022)

Fundus autofluorescence applications in retinal imaging
por: Gabai, Andrea, et al.
Publicado: (2015)

Fundus autofluorescence of retinal angiomatous proliferation
por: Saito, Masaaki, et al.
Publicado: (2020)

The association of primary aldosteronism with glaucoma-related fundus abnormalities
por: Ohshima, Yoshimi, et al.
Publicado: (2020)

Chákṣu: A glaucoma specific fundus image database
por: Kumar, J. R. Harish, et al.
Publicado: (2023)

Correlation between peripapillary retinal nerve fiber layer thickness and fundus autofluorescence in primary open-angle glaucoma
por: Reznicek, Lukas, et al.
Publicado: (2013)

Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning
por: Bajwa, Muhammad Naseer, et al.
Publicado: (2019)

Artificial Intelligence to Identify Retinal Fundus Images, Quality Validation, Laterality Evaluation, Macular Degeneration, and Suspected Glaucoma
por: Zapata, Miguel Angel, et al.
Publicado: (2020)

A Review on Multiscale-Deep-Learning Applications
por: Elizar, Elizar, et al.
Publicado: (2022)

Comparison of the Automated Pattern–Noise (PANO) Glaucoma Test with the HFA, an FDT Stimulus, and the Fundus Area Cup-to-disk Ratio
por: Hannen, Thomas, et al.
Publicado: (2021)

Correction to: Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning
por: Bajwa, Muhammad Naseer, et al.
Publicado: (2019)

Early Glaucoma Detection by Using Style Transfer to Predict Retinal Nerve Fiber Layer Thickness Distribution on the Fundus Photograph
por: Chen, Henry Shen-Lih, et al.
Publicado: (2022)

Clinical applications of fundus autofluorescence in retinal disease
por: Yung, Madeline, et al.
Publicado: (2016)

Cannot write session to /tmp/vufind_sessions/sess_6tcjrcgefgilbhtdam40uleu5d