AIMC Topic: Nerve Fibers
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A lightweight PCT-Net for segmenting neural fibers in low-quality CCM images.
Computers in biology and medicine
Mar 22, 2025
In this paper, we propose a lightweight Position Channel Transformer Network (PCT-Net) for segmenting slender neural fibers in low-quality corneal confocal microscopy images with speckle noise and uneven lighting. Three modules including the channel ...
A hybrid network for fiber orientation distribution reconstruction employing multi-scale information.
Medical physics
Nov 20, 2024
BACKGROUND: Accurate fiber orientation distribution (FOD) is crucial for resolving complex neural fiber structures. However, existing reconstruction methods often fail to integrate both global and local FOD information, as well as the directional inf...
Deep-learning based analysis of in-vivo confocal microscopy images of the subbasal corneal nerve plexus' inferior whorl in patients with neuropathic corneal pain and dry eye disease.
The ocular surface
Aug 2, 2024
PURPOSE: To evaluate and compare subbasal corneal nerve parameters of the inferior whorl in patients with dry eye disease (DED), neuropathic corneal pain (NCP), and controls using a novel deep-learning-based algorithm to analyze in-vivo confocal micr...
Deep-learning-based prediction of glaucoma conversion in normotensive glaucoma suspects.
The British journal of ophthalmology
Jun 20, 2024
BACKGROUND/AIMS: To assess the performance of deep-learning (DL) models for prediction of conversion to normal-tension glaucoma (NTG) in normotensive glaucoma suspect (GS) patients.
Progression or Aging? A Deep Learning Approach for Distinguishing Glaucoma Progression From Age-Related Changes in OCT Scans.
American journal of ophthalmology
May 3, 2024
PURPOSE: To develop deep learning (DL) algorithm to detect glaucoma progression using optical coherence tomography (OCT) images, in the absence of a reference standard.
Visual Fields
Optic Nerve Diseases
Glaucoma, Open-Angle
Middle Aged
Disease Progression
Aged
Deep Learning
Intraocular Pressure
Follow-Up Studies
Male
Tomography, Optical Coherence
Aging
Nerve Fibers
Glaucoma
Optic Disk
Algorithms
Retinal Ganglion Cells
Humans
Retrospective Studies
Neural Networks, Computer
Female
Prediction of Visual Field Progression with Baseline and Longitudinal Structural Measurements Using Deep Learning.
American journal of ophthalmology
Feb 12, 2024
PURPOSE: Identifying glaucoma patients at high risk of progression based on widely available structural data is an unmet task in clinical practice. We test the hypothesis that baseline or serial structural measures can predict visual field (VF) progr...
ROC Curve
Follow-Up Studies
Vision Disorders
Area Under Curve
Tomography, Optical Coherence
Nerve Fibers
Optic Disk
Retinal Ganglion Cells
Male
Middle Aged
Disease Progression
Deep Learning
Retrospective Studies
Female
Humans
Aged
Visual Fields
Intraocular Pressure
Glaucoma
Visual Field Tests
Algorithms
Optic Nerve Diseases
Glaucoma, Open-Angle
Early inner plexiform layer thinning and retinal nerve fiber layer thickening in excitotoxic retinal injury using deep learning-assisted optical coherence tomography.
Acta neuropathologica communications
Feb 1, 2024
Excitotoxicity from the impairment of glutamate uptake constitutes an important mechanism in neurodegenerative diseases such as Alzheimer's, multiple sclerosis, and Parkinson's disease. Within the eye, excitotoxicity is thought to play a critical rol...
Deep learning visual field global index prediction with optical coherence tomography parameters in glaucoma patients.
Scientific reports
Oct 25, 2023
The aim of this study was to predict three visual filed (VF) global indexes, mean deviation (MD), pattern standard deviation (PSD), and visual field index (VFI), from optical coherence tomography (OCT) parameters including Bruch's Membrane Opening-Mi...
Quantifying innervation facilitated by deep learning in wound healing.
Scientific reports
Oct 6, 2023
The peripheral nerves (PNs) innervate the dermis and epidermis, and are suggested to play an important role in wound healing. Several methods to quantify skin innervation during wound healing have been reported. Those usually require multiple observe...
Early Detection of Optic Nerve Changes on Optical Coherence Tomography Using Deep Learning for Risk-Stratification of Papilledema and Glaucoma.
Journal of neuro-ophthalmology : the official journal of the North American Neuro-Ophthalmology Society
Jul 26, 2023
BACKGROUND: The use of artificial intelligence is becoming more prevalence in medicine with numerous successful examples in ophthalmology. However, much of the work has been focused on replicating the works of ophthalmologists. Given the analytical p...
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