AIMC Topic: Optic Disk
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Detection of glaucoma progression on longitudinal series of en-face macular optical coherence tomography angiography images with a deep learning model.
The British journal of ophthalmology
Nov 22, 2024
BACKGROUND/AIMS: To design a deep learning (DL) model for the detection of glaucoma progression with a longitudinal series of macular optical coherence tomography angiography (OCTA) images.
Disease Progression
Deep Learning
ROC Curve
Follow-Up Studies
Aged
Intraocular Pressure
Visual Field Tests
Male
Humans
Fluorescein Angiography
Middle Aged
Retrospective Studies
Macula Lutea
Female
Retinal Vessels
Glaucoma, Open-Angle
Tomography, Optical Coherence
Optic Disk
Retinal Ganglion Cells
Visual Fields
MIU-Net: Advanced multi-scale feature extraction and imbalance mitigation for optic disc segmentation.
Neural networks : the official journal of the International Neural Network Society
Nov 14, 2024
Pathological myopia is a severe eye condition that can cause serious complications like retinal detachment and macular degeneration, posing a threat to vision. Optic disc segmentation helps measure changes in the optic disc and observe the surroundin...
Impact of acquisition area on deep-learning-based glaucoma detection in different plexuses in OCTA.
Scientific reports
Sep 2, 2024
Glaucoma is a group of neurodegenerative diseases that can lead to irreversible blindness. Yet, the progression can be slowed down if diagnosed and treated early enough. Optical coherence tomography angiography (OCTA) can non-invasively provide valua...
Morphological Rule-Constrained Object Detection of Key Structures in Infant Fundus Image.
IEEE/ACM transactions on computational biology and bioinformatics
Aug 9, 2024
The detection of optic disc and macula is an essential step for ROP (Retinopathy of prematurity) zone segmentation and disease diagnosis. This paper aims to enhance deep learning-based object detection with domain-specific morphological rules. Based ...
Multi-step framework for glaucoma diagnosis in retinal fundus images using deep learning.
Medical & biological engineering & computing
Aug 5, 2024
Glaucoma is one of the most common causes of blindness in the world. Screening glaucoma from retinal fundus images based on deep learning is a common method at present. In the diagnosis of glaucoma based on deep learning, the blood vessels within the...
A Deep Learning Approach for Accurate Discrimination Between Optic Disc Drusen and Papilledema on Fundus Photographs.
Journal of neuro-ophthalmology : the official journal of the North American Neuro-Ophthalmology Society
Aug 2, 2024
BACKGROUND: Optic disc drusen (ODD) represent an important differential diagnosis of papilledema caused by intracranial hypertension, but their distinction may be difficult in clinical practice. The aim of this study was to train, validate, and test ...
Developing a privacy-preserving deep learning model for glaucoma detection: a multicentre study with federated learning.
The British journal of ophthalmology
Jul 23, 2024
BACKGROUND: Deep learning (DL) is promising to detect glaucoma. However, patients' privacy and data security are major concerns when pooling all data for model development. We developed a privacy-preserving DL model using the federated learning (FL) ...
Prediction of visual field progression with serial optic disc photographs using deep learning.
The British journal of ophthalmology
Jul 23, 2024
AIM: We tested the hypothesis that visual field (VF) progression can be predicted with a deep learning model based on longitudinal pairs of optic disc photographs (ODP) acquired at earlier time points during follow-up.
Deep Learning-Enabled Vasculometry Depicts Phased Lesion Patterns in High Myopia Progression.
Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
Jul 23, 2024
PURPOSE: To investigate the potential phases in myopic retinal vascular alterations for further elucidating the mechanisms underlying the progression of high myopia (HM).
Quantitative assessment of colour fundus photography in hyperopia children based on artificial intelligence.
BMJ open ophthalmology
Jul 5, 2024
OBJECTIVES: This study aimed to quantitatively evaluate optic nerve head and retinal vascular parameters in children with hyperopia in relation to age and spherical equivalent refraction (SER) using artificial intelligence (AI)-based analysis of colo...
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