AIMC Topic: Tomography, Optical Coherence

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[Deep learning to support therapy decisions for intravitreal injections].

Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft Sep 1, 2018
Significant progress has been made in artificial intelligence and computer vision research in recent years. Machine learning methods excel in a wide variety of tasks where sufficient data are available. We describe the application of a deep convoluti...
Tomography, Optical Coherence Retina Vascular Endothelial Growth Factor A Intravitreal Injections Humans Deep Learning Angiogenesis Inhibitors
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Automated Segmentation and Quantification of Drusen in Fundus and Optical Coherence Tomography Images for Detection of ARMD.

Journal of digital imaging Aug 1, 2018
Age-related macular degeneration (ARMD) is one of the most common retinal syndromes that occurs in elderly people. Different eye testing techniques such as fundus photography and optical coherence tomography (OCT) are used to clinically examine the A...
Support Vector Machine Tomography, Optical Coherence Middle Aged Fundus Oculi Severity of Illness Index Aged Macular Degeneration Decision Support Systems, Clinical Humans Male Female
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Prediction of Individual Disease Conversion in Early AMD Using Artificial Intelligence.

Investigative ophthalmology & visual science Jul 2, 2018
PURPOSE: While millions of individuals show early age-related macular degeneration (AMD) signs, yet have excellent vision, the risk of progression to advanced AMD with legal blindness is highly variable. We suggest means of artificial intelligence to...
Humans Female Aged Aged, 80 and over Male Artificial Intelligence Machine Learning Prospective Studies Retinal Drusen Double-Blind Method Choroidal Neovascularization Image Interpretation, Computer-Assisted Geographic Atrophy Wet Macular Degeneration Middle Aged Disease Progression Tomography, Optical Coherence
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Fusing Results of Several Deep Learning Architectures for Automatic Classification of Normal and Diabetic Macular Edema in Optical Coherence Tomography.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Diabetic Macular Edema (DME) is a severe eye disease that can lead to irreversible blindness if it is left untreated. DME diagnosis still relies on manual evaluation from opthalmologists, thus the process is time consuming and diagnosis may be subjec...
Diabetes Complications Humans Neural Networks, Computer Algorithms Tomography, Optical Coherence Macular Edema Deep Learning Principal Component Analysis
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Lumen Segmentation in Optical Coherence Tomography Images using Convolutional Neural Network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Lumen segmentation in Optical Coherence Tomography (OCT) images is a very important step to analyze points of interest that may help on atherosclerosis diagnostic and treatment. Past studies use many different methods to segment the lumen in IVOCT im...
Image Processing, Computer-Assisted Tomography, Optical Coherence Heart Humans Neural Networks, Computer
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Retinal Nerve Fiber Layer Features Identified by Unsupervised Machine Learning on Optical Coherence Tomography Scans Predict Glaucoma Progression.

Investigative ophthalmology & visual science Jun 1, 2018
PURPOSE: To apply computational techniques to wide-angle swept-source optical coherence tomography (SS-OCT) images to identify novel, glaucoma-related structural features and improve detection of glaucoma and prediction of future glaucomatous progres...
Optic Nerve Diseases Glaucoma, Open-Angle Tonometry, Ocular Optic Disk Retinal Ganglion Cells Visual Field Tests Male Middle Aged Disease Progression Female Tomography, Optical Coherence Aged Nerve Fibers Unsupervised Machine Learning Adult Humans Principal Component Analysis Intraocular Pressure Retrospective Studies
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Deep learning applications in ophthalmology.

Current opinion in ophthalmology May 1, 2018
PURPOSE OF REVIEW: To describe the emerging applications of deep learning in ophthalmology.
Diabetic Retinopathy Glaucoma Machine Learning Diagnostic Techniques, Ophthalmological Posterior Eye Segment Humans Photography Tomography, Optical Coherence Macular Degeneration
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Macular OCT Classification Using a Multi-Scale Convolutional Neural Network Ensemble.

IEEE transactions on medical imaging Apr 1, 2018
Computer-aided diagnosis (CAD) of retinal pathologies is a current active area in medical image analysis. Due to the increasing use of retinal optical coherence tomography (OCT) imaging technique, a CAD system in retinal OCT is essential to assist op...
Image Interpretation, Computer-Assisted Macula Lutea Databases, Factual Tomography, Optical Coherence Humans Macular Degeneration Neural Networks, Computer Algorithms
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Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning.

Cell Feb 22, 2018
The implementation of clinical-decision support algorithms for medical imaging faces challenges with reliability and interpretability. Here, we establish a diagnostic tool based on a deep-learning framework for the screening of patients with common t...
Reproducibility of Results Deep Learning Child Humans Tomography, Optical Coherence ROC Curve Neural Networks, Computer Pneumonia Diagnostic Imaging
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A Deep Learning Approach to Digitally Stain Optical Coherence Tomography Images of the Optic Nerve Head.

Investigative ophthalmology & visual science Jan 1, 2018
PURPOSE: To develop a deep learning approach to digitally stain optical coherence tomography (OCT) images of the optic nerve head (ONH).
Visual Fields Adult Optic Disk Humans Male Tomography, Optical Coherence Retinal Ganglion Cells Algorithms Glaucoma Middle Aged Nerve Fibers Female Machine Learning Reproducibility of Results
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