AIMC Topic: Fundus Oculi

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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...
Fundus Oculi Early Diagnosis Optic Disk Diabetic Retinopathy Neural Networks, Computer Deep Learning Humans
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Gabor-modulated depth separable convolution for retinal vessel segmentation in fundus images.

Computers in biology and medicine Feb 12, 2025
BACKGROUND: In diabetic retinopathy, precise segmentation of retinal vessels is essential for accurate diagnosis and effective disease management. This task is particularly challenging due to the varying sizes of vessels, their bifurcations, and the ...
Humans Diabetic Retinopathy Neural Networks, Computer Deep Learning Algorithms Retinal Vessels Image Processing, Computer-Assisted Databases, Factual Fundus Oculi
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Classification of fundus autofluorescence images based on macular function in retinitis pigmentosa using convolutional neural networks.

Japanese journal of ophthalmology Feb 12, 2025
PURPOSE: To determine whether convolutional neural networks (CNN) can classify the severity of central vision loss using fundus autofluorescence (FAF) images and color fundus images of retinitis pigmentosa (RP), and to evaluate the utility of those i...
Macula Lutea Retinitis Pigmentosa Adolescent Visual Acuity Tomography, Optical Coherence Fundus Oculi Visual Fields Fluorescein Angiography Young Adult Male Adult Middle Aged Convolutional Neural Networks Humans Neural Networks, Computer Retrospective Studies Female Aged
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A novel deep learning framework for retinal disease detection leveraging contextual and local features cues from retinal images.

Medical & biological engineering & computing Feb 7, 2025
Retinal diseases are a serious global threat to human vision, and early identification is essential for effective prevention and treatment. However, current diagnostic methods rely on manual analysis of fundus images, which heavily depends on the exp...
Humans Neural Networks, Computer Algorithms Retina Image Interpretation, Computer-Assisted Deep Learning Retinal Diseases Image Processing, Computer-Assisted Fundus Oculi
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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...
Humans Neural Networks, Computer Glaucoma Fundus Oculi Image Interpretation, Computer-Assisted Optic Disk Deep Learning Image Processing, Computer-Assisted
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Fundus camera-based precision monitoring of blood vitamin A level for Wagyu cattle using deep learning.

Scientific reports Feb 3, 2025
In the wagyu industry worldwide, high-quality marbling beef is produced by promoting intramuscular fat deposition during cattle fattening stage through dietary vitamin A control. Thus, however, cattle become susceptible to either vitamin A deficiency...
Vitamin A Deficiency Photography Animals Cattle Diseases Deep Learning Fundus Oculi Cattle Vitamin A
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Efficient diagnosis of retinal disorders using dual-branch semi-supervised learning (DB-SSL): An enhanced multi-class classification approach.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Feb 1, 2025
The early diagnosis of retinal disorders is essential in preventing permanent or partial blindness. Identifying these conditions promptly guarantees early treatment and prevents blindness. However, the challenge lies in accurately diagnosing these co...
Humans Neural Networks, Computer Fundus Oculi Supervised Machine Learning Image Interpretation, Computer-Assisted Retinal Diseases
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Identification of diabetic retinopathy lesions in fundus images by integrating CNN and vision mamba models.

PloS one Jan 28, 2025
Diabetic retinopathy, a retinal disorder resulting from diabetes mellitus, is a prominent cause of visual degradation and loss among the global population. Therefore, the identification and classification of diabetic retinopathy are of utmost importa...
Image Processing, Computer-Assisted Fundus Oculi Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Diabetic Retinopathy Algorithms Deep Learning
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Multi scale multi attention network for blood vessel segmentation in fundus images.

Scientific reports Jan 27, 2025
Precise segmentation of retinal vasculature is crucial for the early detection, diagnosis, and treatment of vision-threatening ailments. However, this task is challenging due to limited contextual information, variations in vessel thicknesses, the co...
Fundus Oculi Humans Retinal Vessels Neural Networks, Computer ROC Curve Algorithms Image Processing, Computer-Assisted
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Optimising deep learning models for ophthalmological disorder classification.

Scientific reports Jan 24, 2025
Fundus imaging, a technique for recording retinal structural components and anomalies, is essential for observing and identifying ophthalmological diseases. Disorders such as hypertension, glaucoma, and diabetic retinopathy are indicated by structura...
Eye Diseases Humans Databases, Factual Deep Learning Fundus Oculi Diabetic Retinopathy Neural Networks, Computer Glaucoma
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