AIMC Topic: Optic Disk

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Analysis of 2-dimensional regional differences in the peripapillary scleral fibroblast cytoskeleton of normotensive and hypertensive mouse eyes.

Scientific reports Jul 1, 2025
These studies aimed to study the mechanisms of glaucomatous peripapillary scleral (PPS) remodeling by investigating IOP-induced changes in fibroblast actin-collagen alignment and nuclear morphology in mouse PPS. Cryosections from the optic nerve head...
Disease Models, Animal Mice, Inbred C57BL Fibroblasts Male Mice Cytoskeleton Ocular Hypertension Sclera Optic Disk Actins Collagen Intraocular Pressure Animals Glaucoma
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International ophthalmology Jun 27, 2025
UNLABELLED: Early detection of glaucoma represents a vital factor in securing vision while the disease retains its position as one of the central causes of blindness worldwide. The current glaucoma screening strategies with expert interpretation depe...
Humans Reproducibility of Results Intraocular Pressure Fundus Oculi Glaucoma Algorithms Neural Networks, Computer Optic Disk
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Enhanced glaucoma classification through advanced segmentation by integrating cup-to-disc ratio and neuro-retinal rim features.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 28, 2025
Glaucoma is a progressive eye condition caused by high intraocular fluid pressure, damaging the optic nerve, leading to gradual, irreversible vision loss, often without noticeable symptoms. Subtle signs like mild eye redness, slightly blurred vision,...
Glaucoma Image Interpretation, Computer-Assisted Optic Disk Diagnosis, Computer-Assisted Humans Tomography, Optical Coherence
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Optimized glaucoma detection using HCCNN with PSO-driven hyperparameter tuning.

Biomedical physics & engineering express Apr 22, 2025
. This study is focused on creating an effective glaucoma detection system employing a Hybrid Centric Convolutional Neural Network (HCCNN) model. By using Particle Swarm Optimization (PSO), classification accuracy is increased and computing complexit...
Fundus Oculi Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Neural Networks, Computer Humans Glaucoma Optic Disk Algorithms
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Sharper insights: Adaptive ellipse-template for robust fovea localization in challenging retinal landscapes.

Computers in biology and medicine Apr 20, 2025
Automated identification of retinal landmarks, particularly the fovea is crucial for diagnosing diabetic retinopathy and other ocular diseases. But accurate identification is challenging due to varying contrast, color irregularities, anatomical struc...
Retinal Vessels Fovea Centralis Image Processing, Computer-Assisted Optic Disk Humans Algorithms Databases, Factual Diabetic Retinopathy
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Robust semi-automatic vessel tracing in the human retinal image by an instance segmentation neural network.

Science advances Apr 4, 2025
Vasculature morphology and hierarchy are essential for blood perfusion. Human retinal circulation is an intricate vascular system emerging and remerging at the optic nerve head (ONH). Tracing retinal vascular branching from ONH can allow detailed mor...
Retinal Vessels Fundus Oculi Retina Humans Optic Disk Neural Networks, Computer Algorithms Image Processing, Computer-Assisted
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Capsule network-based deep learning for early and accurate diabetic retinopathy detection.

International ophthalmology Feb 18, 2025
Glaucoma, an optic nerve disease resulting in blindness if left untreated, is a difficult condition in healthcare in view of its diagnostic difficulties. Past approaches are based on assessment of the fundus images and the size of the cup and the dis...
Optic Disk Diabetic Retinopathy Fundus Oculi Early Diagnosis Neural Networks, Computer Deep Learning Humans
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Rim learning framework based on TS-GAN: A new paradigm of automated glaucoma screening from fundus images.

Computers in biology and medicine Feb 3, 2025
Glaucoma detection from fundus images often relies on biomarkers such as the Cup-to-Disc Ratio (CDR) and Rim-to-Disc Ratio (RDR). However, precise segmentation of the optic cup and disc is challenging due to low-contrast boundaries and the interferen...
Glaucoma Deep Learning Fundus Oculi Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Humans Neural Networks, Computer Optic Disk
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Systematic application of saliency maps to explain the decisions of convolutional neural networks for glaucoma diagnosis based on disc and cup geometry.

Biomedical physics & engineering express Jan 21, 2025
This paper systematically evaluates saliency methods as explainability tools for convolutional neural networks trained to diagnose glaucoma using simplified eye fundus images that contain only disc and cup outlines. These simplified images, a methodo...
Image Processing, Computer-Assisted Fundus Oculi Image Interpretation, Computer-Assisted Optic Disk Neural Networks, Computer Glaucoma Humans Algorithms Convolutional Neural Networks
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CC-TransXNet: a hybrid CNN-transformer network for automatic segmentation of optic cup and optic disk from fundus images.

Medical & biological engineering & computing Nov 27, 2024
Accurate segmentation of the optic disk (OD) and optic cup (OC) regions of the optic nerve head is a critical step in glaucoma diagnosis. Existing architectures based on convolutional neural networks (CNNs) still suffer from insufficient global infor...
Fundus Oculi Optic Disk Glaucoma Algorithms Humans Image Processing, Computer-Assisted Neural Networks, Computer
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