AIMC Topic: Optic Disk

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Deep Learning for Retinal Image Quality Assessment of Optic Nerve Head Disorders.

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.) May 13, 2025
Deep learning (DL)-based retinal image quality assessment (RIQA) algorithms have been gaining popularity, as a solution to reduce the frequency of diagnostically unusable images. Most existing RIQA tools target retinal conditions, with a dearth of st...
Optic Disk Humans Optic Nerve Diseases Deep Learning Fundus Oculi
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The Associations Between Myopia and Fundus Tessellation in School Children: A Comparative Analysis of Macular and Peripapillary Regions Using Deep Learning.

Translational vision science & technology Jan 2, 2025
PURPOSE: To evaluate the refractive differences among school-aged children with macular or peripapillary fundus tessellation (FT) distribution patterns, using fundus tessellation density (FTD) quantified by deep learning (DL) technology.
Humans Female Cross-Sectional Studies Male Child Fundus Oculi Optic Disk Macula Lutea Refraction, Ocular Myopia Deep Learning Adolescent
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CNN-Based Device-Agnostic Feature Extraction From ONH OCT Scans.

Translational vision science & technology Dec 2, 2024
PURPOSE: Optical coherence tomography (OCT)-derived measurements of the optic nerve head (ONH) from different devices are not interchangeable. This poses challenges to patient follow-up and collaborative studies. Here, we present a device-agnostic me...
Neural Networks, Computer Female Aged Nerve Fibers Adult Optic Disk Male Retinal Ganglion Cells Middle Aged Tomography, Optical Coherence Humans
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SLOctolyzer: Fully Automatic Analysis Toolkit for Segmentation and Feature Extracting in Scanning Laser Ophthalmoscopy Images.

Translational vision science & technology Nov 4, 2024
PURPOSE: The purpose of this study was to introduce SLOctolyzer: an open-source analysis toolkit for en face retinal vessels in infrared reflectance scanning laser ophthalmoscopy (SLO) images.
Tomography, Optical Coherence Optic Disk Ophthalmoscopy Retinal Vessels Reproducibility of Results Deep Learning Image Processing, Computer-Assisted Humans Software
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Deep Learning to Discriminate Arteritic From Nonarteritic Ischemic Optic Neuropathy on Color Images.

JAMA ophthalmology Nov 1, 2024
IMPORTANCE: Prompt and accurate diagnosis of arteritic anterior ischemic optic neuropathy (AAION) from giant cell arteritis and other systemic vasculitis can contribute to preventing irreversible vision loss from these conditions. Its clinical distin...
Aged Male Middle Aged Deep Learning Humans Retrospective Studies Female Reproducibility of Results Optic Disk Giant Cell Arteritis Optic Neuropathy, Ischemic ROC Curve Diagnosis, Differential Fundus Oculi
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Using Multi-Layer Perceptron Driven Diagnosis to Compare Biomarkers for Primary Open Angle Glaucoma.

Investigative ophthalmology & visual science Sep 3, 2024
PURPOSE: To use neural network machine learning (ML) models to identify the most relevant ocular biomarkers for the diagnosis of primary open-angle glaucoma (POAG).
Humans Neural Networks, Computer Prospective Studies Biomarkers Female Aged Intraocular Pressure Retinal Ganglion Cells Area Under Curve Male Visual Fields Tomography, Optical Coherence Middle Aged Glaucoma, Open-Angle Nerve Fibers ROC Curve Optic Disk
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Long-Term Rate of Optic Disc Rim Loss in Glaucoma Patients Measured From Optic Disc Photographs With a Deep Neural Network.

Translational vision science & technology Sep 3, 2024
PURPOSE: This study uses deep neural network-generated rim-to-disc area ratio (RADAR) measurements and the disc damage likelihood scale (DDLS) to measure the rate of optic disc rim loss in a large cohort of glaucoma patients.
Optic Disk Visual Fields Visual Field Tests Optic Nerve Diseases Photography Humans Male Neural Networks, Computer Middle Aged Glaucoma Disease Progression Retrospective Studies Aged ROC Curve Female Adult Intraocular Pressure
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Hybrid convolutional neural network optimized with an artificial algae algorithm for glaucoma screening using fundus images.

The Journal of international medical research Sep 1, 2024
OBJECTIVE: We developed an optimized decision support system for retinal fundus image-based glaucoma screening.
Image Processing, Computer-Assisted Support Vector Machine Fundus Oculi Optic Disk Humans Neural Networks, Computer Glaucoma Algorithms
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Comparative Analysis of Macular and Optic Disc Perfusion Pre and Post Silicone Oil Removal: A Machine Learning Approach.

Studies in health technology and informatics Aug 22, 2024
In the realm of ophthalmic surgeries, silicone oil is often utilized as a tamponade agent for repairing retinal detachments, but it necessitates subsequent removal. This study harnesses the power of machine learning to analyze the macular and optic d...
Humans Macula Lutea Retinal Detachment Machine Learning Silicone Oils Tomography, Optical Coherence Optic Disk
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Visual Field Prognosis From Macula and Circumpapillary Spectral Domain Optical Coherence Tomography.

Translational vision science & technology Jun 3, 2024
PURPOSE: To explore the structural-functional loss relationship from optic-nerve-head- and macula-centred spectral-domain (SD) Optical Coherence Tomography (OCT) images in the full spectrum of glaucoma patients using deep-learning methods.
Prognosis Visual Fields Visual Field Tests Female Macula Lutea Aged Humans Nerve Fibers Male Glaucoma Optic Disk Middle Aged Retinal Ganglion Cells Deep Learning Tomography, Optical Coherence
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