AIMC Topic: Retina

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3-Dimensional morphological characterization of neuroretinal microglia in Alzheimer's disease via machine learning.

Acta neuropathologica communications Dec 24, 2024
Alzheimer's Disease (AD) is a debilitating neurodegenerative disease that affects 47.5 million people worldwide. AD is characterised by the formation of plaques containing extracellular amyloid-β (Aβ) and neurofibrillary tangles composed of hyper-pho...
Microglia Antigens, CD Retina Male Middle Aged Imaging, Three-Dimensional Antigens, Differentiation, Myelomonocytic CD68 Molecule Alzheimer Disease Calcium-Binding Proteins Microfilament Proteins Humans Machine Learning Female Aged Aged, 80 and over
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Exploring transparency: A comparative analysis of explainable artificial intelligence techniques in retinography images to support the diagnosis of glaucoma.

Computers in biology and medicine Dec 19, 2024
Machine learning models are widely applied across diverse fields, including nearly all segments of human activity. In healthcare, artificial intelligence techniques have revolutionized disease diagnosis, particularly in image classification. Although...
Artificial Intelligence Humans Retina Image Interpretation, Computer-Assisted Neural Networks, Computer Glaucoma
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Enhancing AI reliability: A foundation model with uncertainty estimation for optical coherence tomography-based retinal disease diagnosis.

Cell reports. Medicine Dec 19, 2024
Inability to express the confidence level and detect unseen disease classes limits the clinical implementation of artificial intelligence in the real world. We develop a foundation model with uncertainty estimation (FMUE) to detect 16 retinal conditi...
Humans Artificial Intelligence Retina Retinal Diseases Uncertainty Algorithms Reproducibility of Results Tomography, Optical Coherence
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Ensemble deep learning and EfficientNet for accurate diagnosis of diabetic retinopathy.

Scientific reports Dec 18, 2024
Diabetic Retinopathy (DR) stands as a significant global cause of vision impairment, underscoring the critical importance of early detection in mitigating its impact. Addressing this challenge head-on, this study introduces an innovative deep learnin...
Algorithms Deep Learning Image Interpretation, Computer-Assisted Humans Diabetic Retinopathy Neural Networks, Computer Retina
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Evaluating deep learning models for classifying OCT images with limited data and noisy labels.

Scientific reports Dec 5, 2024
The use of deep learning for OCT image classification could enhance the diagnosis and monitoring of retinal diseases. However, challenges like variability in retinal abnormalities, noise, and artifacts in OCT images limit its clinical use. Our study ...
Image Processing, Computer-Assisted Tomography, Optical Coherence Retina Retinal Diseases Humans Deep Learning
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Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine.

Scientific reports Nov 29, 2024
Glaucoma is defined as progressive optic neuropathy that damages the structural appearance of the optic nerve head and is characterized by permanent blindness. For mass fundus image-based glaucoma classification, an improved automated computer-aided ...
Retina Algorithms Humans Diagnosis, Computer-Assisted Glaucoma Principal Component Analysis Machine Learning
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Evaluating the reproducibility of a deep learning algorithm for the prediction of retinal age.

GeroScience Nov 26, 2024
Recently, a deep learning algorithm (DLA) has been developed to predict the chronological age from retinal images. The Retinal Age Gap (RAG), a deviation between predicted age from retinal images (Retinal Age, RA) and chronological age, correlates wi...
Deep Learning Retina Photography Male Reproducibility of Results Aging Aged Middle Aged Aged, 80 and over Humans Algorithms Female
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Spike-VisNet: A novel framework for visual recognition with FocusLayer-STDP learning.

Neural networks : the official journal of the International Neural Network Society Nov 26, 2024
Current vision-inspired spiking neural networks (SNNs) face key challenges due to their model structures typically focusing on single mechanisms and neglecting the integration of multiple biological features. These limitations, coupled with limited s...
Synapses Visual Perception Pattern Recognition, Visual Humans Action Potentials Neural Networks, Computer Retina Neurons Learning Neuronal Plasticity Models, Neurological
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Computer-aided diagnosis of early-stage Retinopathy of Prematurity in neonatal fundus images using artificial intelligence.

Biomedical physics & engineering express Nov 21, 2024
Retinopathy of Prematurity (ROP) is a retinal disorder affecting preterm babies, which can lead to permanent blindness without treatment. Early-stage ROP diagnosis is vital in providing optimal therapy for the neonates. The proposed study predicts ea...
Retinopathy of Prematurity Fundus Oculi Retina Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Neural Networks, Computer Support Vector Machine Artificial Intelligence Principal Component Analysis Machine Learning Humans Diagnosis, Computer-Assisted Algorithms ROC Curve Infant, Newborn
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TSOM: Small object motion detection neural network inspired by avian visual circuit.

Neural networks : the official journal of the International Neural Network Society Nov 9, 2024
Detecting small moving objects in complex backgrounds from an overhead perspective is a highly challenging task for machine vision systems. As an inspiration from nature, the avian visual system is capable of processing motion information in various ...
Neural Networks, Computer Algorithms Animals Birds Retina Neurons Visual Pathways Superior Colliculi Columbidae Photic Stimulation Motion Perception
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