AIMC Topic: Fundus Oculi

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Predicting High Coronary Artery Calcium Score From Retinal Fundus Images With Deep Learning Algorithms.

Translational vision science & technology Nov 11, 2020
PURPOSE: To evaluate high accumulation of coronary artery calcium (CAC) from retinal fundus images with deep learning technologies as an inexpensive and radiation-free screening method.
Tomography, X-Ray Computed Deep Learning Fundus Oculi Coronary Vessels Humans Algorithms
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Artificial Intelligence for Automated Overlay of Fundus Camera and Scanning Laser Ophthalmoscope Images.

Translational vision science & technology Oct 20, 2020
PURPOSE: The purpose of this study was to evaluate the ability to align two types of retinal images taken on different platforms; color fundus (CF) photographs and infrared scanning laser ophthalmoscope (IR SLO) images using mathematical warping and ...
Lasers Fluorescein Angiography Ophthalmoscopes Humans Artificial Intelligence Fundus Oculi
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Sex judgment using color fundus parameters in elementary school students.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Oct 16, 2020
PURPOSES: Recently, artificial intelligence has been used to determine sex using fundus photographs alone. We had earlier reported that sex can be distinguished using known factors obtained from color fundus photography (CFP) in adult eyes. However, ...
Humans Infant, Newborn Artificial Intelligence Schools Adult Female Fundus Oculi Cross-Sectional Studies Male Judgment Photography Students Tomography, Optical Coherence
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VSSC Net: Vessel Specific Skip chain Convolutional Network for blood vessel segmentation.

Computer methods and programs in biomedicine Sep 28, 2020
BACKGROUND AND OBJECTIVE: Deep learning techniques are instrumental in developing network models that aid in the early diagnosis of life-threatening diseases. To screen and diagnose the retinal fundus and coronary blood vessel disorders, the most imp...
Neural Networks, Computer Coronary Angiography Fundus Oculi Retinal Vessels
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AMD-GAN: Attention encoder and multi-branch structure based generative adversarial networks for fundus disease detection from scanning laser ophthalmoscopy images.

Neural networks : the official journal of the International Neural Network Society Sep 17, 2020
The scanning laser ophthalmoscopy (SLO) has become an important tool for the determination of peripheral retinal pathology, in recent years. However, the collected SLO images are easily interfered by the eyelash and frame of the devices, which heavil...
Lasers Neural Networks, Computer Humans Ophthalmoscopy Image Processing, Computer-Assisted Ophthalmoscopes Fundus Oculi
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Deep learning for automated glaucomatous optic neuropathy detection from ultra-widefield fundus images.

The British journal of ophthalmology Sep 16, 2020
BACKGROUND/AIMS: To develop a deep learning system for automated glaucomatous optic neuropathy (GON) detection using ultra-widefield fundus (UWF) images.
Fundus Oculi Optic Disk Optic Nerve Diseases Glaucoma Deep Learning ROC Curve Humans
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Deep learning can generate traditional retinal fundus photographs using ultra-widefield images via generative adversarial networks.

Computer methods and programs in biomedicine Sep 16, 2020
BACKGROUND AND OBJECTIVE: Retinal imaging has two major modalities, traditional fundus photography (TFP) and ultra-widefield fundus photography (UWFP). This study demonstrates the feasibility of a state-of-the-art deep learning-based domain transfer ...
Humans Deep Learning Fundus Oculi Photography Retina Diagnostic Techniques, Ophthalmological
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Automatic detection of non-perfusion areas in diabetic macular edema from fundus fluorescein angiography for decision making using deep learning.

Scientific reports Sep 15, 2020
Vision loss caused by diabetic macular edema (DME) can be prevented by early detection and laser photocoagulation. As there is no comprehensive detection technique to recognize NPA, we proposed an automatic detection method of NPA on fundus fluoresce...
Male Middle Aged Diagnosis, Computer-Assisted Aged Aged, 80 and over Adult Fundus Oculi Macular Edema Image Interpretation, Computer-Assisted Fluorescein Angiography Deep Learning Follow-Up Studies Decision Making Humans Diabetic Retinopathy Neural Networks, Computer Algorithms Prognosis Female
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Generative adversarial networks to predict treatment response for neovascular age-related macular degeneration: interesting, but is it useful?

The British journal of ophthalmology Aug 29, 2020
Wet Macular Degeneration Fundus Oculi Humans Disease Management Machine Learning Fluorescein Angiography Female Aged Male Tomography, Optical Coherence
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Phase I trial on robot assisted retinal vein cannulation with ocriplasmin infusion for central retinal vein occlusion.

Acta ophthalmologica Jul 23, 2020
PURPOSE: To evaluate the safety and feasibility of robot-assisted retinal vein cannulation with Ocriplasmin infusion for central retinal vein occlusion.
Fluorescein Angiography Vitrectomy Catheterization Tomography, Optical Coherence Middle Aged Fibrinolysin Peptide Fragments Treatment Outcome Fundus Oculi Retinal Vein Follow-Up Studies Aged Retinal Vein Occlusion Visual Acuity Aged, 80 and over Humans Infusions, Intravenous Prospective Studies Male Robotics Female
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