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Ophthalmology Subcategories: Glaucoma Ophthalmology Refractive Surgery

Showing 148-168 of 5,142 articles

Applications of Artificial Intelligence and Deep Learning in Glaucoma.

Diagnosis and detection of progression of glaucoma remains challenging. Artificial intelligence-base...

Jan 2023 PMID: 36706335

Application of Machine Learning in Intelligent Medical Image Diagnosis and Construction of Intelligent Service Process.

The introduction of digital technology in the healthcare industry is marked by ongoing difficulties ...

Dec 2022 PMID: 36619816

Application of a deep learning system in glaucoma screening and further classification with colour fundus photographs: a case control study.

BACKGROUND: To verify efficacy of automatic screening and classification of glaucoma with deep learn...

Dec 2022 PMID: 36510171

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

Close monitoring of central visual field (VF) defects with 10-2 VF helps prevent blindness in glauco...

Dec 2022 PMID: 36471039

Deep Learning-Assisted Detection of Glaucoma Progression in Spectral-Domain OCT.

PURPOSE: To develop and validate a deep learning (DL) model for detection of glaucoma progression us...

Nov 2022 PMID: 36410708

Deep Learning Estimation of 10-2 Visual Field Map Based on Circumpapillary Retinal Nerve Fiber Layer Thickness Measurements.

PURPOSE: To estimate central 10-degree visual field (VF) map from spectral-domain optical coherence ...

Nov 2022 PMID: 36328198

A multi-feature deep learning system to enhance glaucoma severity diagnosis with high accuracy and fast speed.

Glaucoma is the leading cause of irreversible blindness, and the early detection and timely treatmen...

Oct 2022 PMID: 36280089

Peripapillary atrophy classification using CNN deep learning for glaucoma screening.

Glaucoma is the second leading cause of blindness worldwide, and peripapillary atrophy (PPA) is a mo...

Oct 2022 PMID: 36201448

Deep Learning-Based Noise Reduction Improves Optical Coherence Tomography Angiography Imaging of Radial Peripapillary Capillaries in Advanced Glaucoma.

PURPOSE: We applied deep learning-based noise reduction (NR) to optical coherence tomography-angiogr...

Sep 2022 PMID: 36102611

Deep learning approaches based improved light weight U-Net with attention module for optic disc segmentation.

Glaucoma is a major cause of blindness worldwide, and its early detection is essential for the timel...

Sep 2022 PMID: 36094722

A Deep Learning Approach to Improve Retinal Structural Predictions and Aid Glaucoma Neuroprotective Clinical Trial Design.

PURPOSE: To investigate the efficacy of a deep learning regression method to predict macula ganglion...

Aug 2022 PMID: 36038107

Automated diagnosing primary open-angle glaucoma from fundus image by simulating human's grading with deep learning.

Primary open-angle glaucoma (POAG) is a leading cause of irreversible blindness worldwide. Although ...

Aug 2022 PMID: 35982106

Predicting demographic characteristics from anterior segment OCT images with deep learning: A study protocol.

INTRODUCTION: Anterior segment optical coherence tomography (AS-OCT) is a non-contact, rapid, and hi...

Aug 2022 PMID: 35951641

Multi-task deep learning for glaucoma detection from color fundus images.

Glaucoma is an eye condition that leads to loss of vision and blindness if not diagnosed in time. Di...

Jul 2022 PMID: 35858986

Enhancement of Detection of Diabetic Retinopathy Using Harris Hawks Optimization with Deep Learning Model.

In today's world, diabetic retinopathy is a very severe health issue, which is affecting many humans...

May 2022 PMID: 35665292

Evaluating machine learning classifiers for glaucoma referral decision support in primary care settings.

Several artificial intelligence algorithms have been proposed to help diagnose glaucoma by analyzing...

May 2022 PMID: 35595794

A lightweight deep learning model for automatic segmentation and analysis of ophthalmic images.

Detection, diagnosis, and treatment of ophthalmic diseases depend on extraction of information (feat...

May 2022 PMID: 35595784

Formulation design and optimization of cationic-charged liposomes of brimonidine tartrate for effective ocular drug delivery by design of experiment (DoE) approach.

OBJECTIVE: The present study was aimed to design and optimize brimonidine tartrate (BRT) loaded cati...

May 2022 PMID: 35484943

Ophthalmology

Browse Specialties

Applications of Artificial Intelligence and Deep Learning in Glaucoma.

Application of Machine Learning in Intelligent Medical Image Diagnosis and Construction of Intelligent Service Process.

Application of a deep learning system in glaucoma screening and further classification with colour fundus photographs: a case control study.

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

Deep Learning-Assisted Detection of Glaucoma Progression in Spectral-Domain OCT.

Deep Learning Estimation of 10-2 Visual Field Map Based on Circumpapillary Retinal Nerve Fiber Layer Thickness Measurements.

A multi-feature deep learning system to enhance glaucoma severity diagnosis with high accuracy and fast speed.

Peripapillary atrophy classification using CNN deep learning for glaucoma screening.

Deep Learning-Based Noise Reduction Improves Optical Coherence Tomography Angiography Imaging of Radial Peripapillary Capillaries in Advanced Glaucoma.

Deep learning approaches based improved light weight U-Net with attention module for optic disc segmentation.

A Deep Learning Approach to Improve Retinal Structural Predictions and Aid Glaucoma Neuroprotective Clinical Trial Design.

Automated diagnosing primary open-angle glaucoma from fundus image by simulating human's grading with deep learning.

Predicting demographic characteristics from anterior segment OCT images with deep learning: A study protocol.

Multi-task deep learning for glaucoma detection from color fundus images.

Enhancement of Detection of Diabetic Retinopathy Using Harris Hawks Optimization with Deep Learning Model.

Evaluating machine learning classifiers for glaucoma referral decision support in primary care settings.

A lightweight deep learning model for automatic segmentation and analysis of ophthalmic images.

Formulation design and optimization of cationic-charged liposomes of brimonidine tartrate for effective ocular drug delivery by design of experiment (DoE) approach.

Optimized convolution neural network based multiple eye disease detection.

Glaucoma diagnosis using multi-feature analysis and a deep learning technique.

Deep Learning for Ocular Disease Recognition: An Inner-Class Balance.

Browse Specialties