AIMC Topic: Retinal Vessels

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Exploring the effect of hypertension on retinal microvasculature using deep learning on East Asian population.

PloS one Mar 5, 2020
Hypertension is the leading risk factor of cardiovascular disease and has profound effects on both the structure and function of the microvasculature. Abnormalities of the retinal vasculature may reflect the degree of microvascular damage due to hype...
Female Aged Aged, 80 and over Adult Humans Algorithms Deep Learning Image Processing, Computer-Assisted Hypertension Retinal Diseases Male Middle Aged Case-Control Studies Asia, Eastern Fluorescein Angiography Retinal Vessels Microvessels
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NFN＋: A novel network followed network for retinal vessel segmentation.

Neural networks : the official journal of the International Neural Network Society Mar 4, 2020
In the early diagnosis of diabetic retinopathy, the morphological attributes of blood vessels play an essential role to construct a retinal computer-aided diagnosis system. However, due to the challenges including limited densely annotated data, inte...
Humans Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Diabetic Neuropathies Retinal Vessels Algorithms Databases, Factual Diagnosis, Computer-Assisted
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Plus Disease in Retinopathy of Prematurity: Convolutional Neural Network Performance Using a Combined Neural Network and Feature Extraction Approach.

Translational vision science & technology Feb 14, 2020
PURPOSE: Retinopathy of prematurity (ROP), a leading cause of childhood blindness, is diagnosed by clinical ophthalmoscopic examinations or reading retinal images. Plus disease, defined as abnormal tortuosity and dilation of the posterior retinal blo...
Retinopathy of Prematurity Retinal Vessels Child Area Under Curve Ophthalmoscopy Neural Networks, Computer Infant, Newborn Humans
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Deep learning algorithms for detection of diabetic retinopathy in retinal fundus photographs: A systematic review and meta-analysis.

Computer methods and programs in biomedicine Jan 16, 2020
BACKGROUND: Diabetic retinopathy (DR) is one of the leading causes of blindness globally. Earlier detection and timely treatment of DR are desirable to reduce the incidence and progression of vision loss. Currently, deep learning (DL) approaches have...
Deep Learning Mass Screening Diagnostic Techniques, Ophthalmological Retinal Vessels Humans Diabetic Retinopathy Algorithms
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Beyond Performance Metrics: Automatic Deep Learning Retinal OCT Analysis Reproduces Clinical Trial Outcome.

Ophthalmology Dec 23, 2019
PURPOSE: To validate the efficacy of a fully automatic, deep learning-based segmentation algorithm beyond conventional performance metrics by measuring the primary outcome of a clinical trial for macular telangiectasia type 2 (MacTel2).
Retinal Photoreceptor Cell Outer Segment Visual Field Tests Fluorescein Angiography Ciliary Neurotrophic Factor Drug Implants Retinal Photoreceptor Cell Inner Segment Retinal Vessels Retinal Telangiectasis Visual Acuity Tomography, Optical Coherence Visual Fields Male Deep Learning Treatment Outcome Female Reproducibility of Results Humans
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New grading criterion for retinal haemorrhages in term newborns based on deep convolutional neural networks.

Clinical & experimental ophthalmology Nov 11, 2019
BACKGROUND: To define a new quantitative grading criterion for retinal haemorrhages in term newborns based on the segmentation results of a deep convolutional neural network.
Optic Disk Retinal Hemorrhage Term Birth Neural Networks, Computer Retinal Vessels Infant, Newborn Deep Learning Image Processing, Computer-Assisted Humans
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Tracing in 2D to reduce the annotation effort for 3D deep delineation of linear structures.

Medical image analysis Nov 9, 2019
The difficulty of obtaining annotations to build training databases still slows down the adoption of recent deep learning approaches for biomedical image analysis. In this paper, we show that we can train a Deep Net to perform 3D volumetric delineati...
Humans Neural Networks, Computer Brain Image Processing, Computer-Assisted Datasets as Topic Deep Learning Imaging, Three-Dimensional Magnetic Resonance Angiography Retinal Vessels
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DCCMED-Net: Densely connected and concatenated multi Encoder-Decoder CNNs for retinal vessel extraction from fundus images.

Medical hypotheses Oct 10, 2019
Recent studies have shown that convolutional neural networks (CNNs) can be more accurate, efficient and even deeper on their training if they include direct connections from the layers close to the input to those close to the output in order to trans...
Retinal Vessels Humans Diagnosis, Computer-Assisted Area Under Curve ROC Curve Algorithms Deep Learning Fundus Oculi Image Processing, Computer-Assisted Sensitivity and Specificity Fluorescein Angiography
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DeepBranch: Deep Neural Networks for Branch Point Detection in Biomedical Images.

IEEE transactions on medical imaging Oct 7, 2019
Morphology reconstruction of tree-like structures in volumetric images, such as neurons, retinal blood vessels, and bronchi, is of fundamental interest for biomedical research. 3D branch points play an important role in many reconstruction applicatio...
Humans Neural Networks, Computer Neurons Algorithms Bronchi Retinal Vessels Animals Image Processing, Computer-Assisted Diagnostic Imaging
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Automated diagnosis and quantitative analysis of plus disease in retinopathy of prematurity based on deep convolutional neural networks.

Acta ophthalmologica Sep 27, 2019
BACKGROUND: The purpose of this study was to develop an automated diagnosis and quantitative analysis system for plus disease. The system provides a diagnostic decision but also performs quantitative analysis of the typical pathological features of t...
Image Interpretation, Computer-Assisted Infant, Premature Intravitreal Injections Deep Learning Retinal Vessels ROC Curve Humans Infant, Extremely Low Birth Weight Angiogenesis Inhibitors Infant, Newborn Ranibizumab Diagnosis, Computer-Assisted Retinopathy of Prematurity
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