AIMC Topic: Tomography, Optical Coherence

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Linear-regression convolutional neural network for fully automated coronary lumen segmentation in intravascular optical coherence tomography.

Journal of biomedical optics Dec 1, 2017
Intravascular optical coherence tomography (OCT) is an optical imaging modality commonly used in the assessment of coronary artery diseases during percutaneous coronary intervention. Manual segmentation to assess luminal stenosis from OCT pullback sc...
Endovascular Procedures Tomography, Optical Coherence Image Interpretation, Computer-Assisted Linear Models Coronary Vessels Humans Neural Networks, Computer Algorithms Female Aged Male Middle Aged
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Hybrid Deep Learning on Single Wide-field Optical Coherence tomography Scans Accurately Classifies Glaucoma Suspects.

Journal of glaucoma Dec 1, 2017
PURPOSE: Existing summary statistics based upon optical coherence tomographic (OCT) scans and/or visual fields (VFs) are suboptimal for distinguishing between healthy and glaucomatous eyes in the clinic. This study evaluates the extent to which a hyb...
Humans Neural Networks, Computer Machine Learning Retinal Ganglion Cells Visual Fields Glaucoma, Open-Angle Reproducibility of Results Ocular Hypertension Intraocular Pressure Tomography, Optical Coherence Nerve Fibers
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Prediction of Anti-VEGF Treatment Requirements in Neovascular AMD Using a Machine Learning Approach.

Investigative ophthalmology & visual science Jun 1, 2017
PURPOSE: The purpose of this study was to predict low and high anti-VEGF injection requirements during a pro re nata (PRN) treatment, based on sets of optical coherence tomography (OCT) images acquired during the initiation phase in neovascular AMD.
Humans Machine Learning Middle Aged Pilot Projects ROC Curve Angiogenesis Inhibitors Female Aged Aged, 80 and over Male Choroidal Neovascularization Vascular Endothelial Growth Factor A Macular Degeneration Ranibizumab Visual Acuity Subretinal Fluid Predictive Value of Tests Tomography, Optical Coherence
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Machine Learning of the Progression of Intermediate Age-Related Macular Degeneration Based on OCT Imaging.

Investigative ophthalmology & visual science May 1, 2017
PURPOSE: To develop a data-driven interpretable predictive model of incoming drusen regression as a sign of disease activity and identify optical coherence tomography (OCT) biomarkers associated with its risk in intermediate age-related macular degen...
Macular Degeneration Retinal Drusen Disease Progression Predictive Value of Tests Area Under Curve Tomography, Optical Coherence Machine Learning Prospective Studies Biomarkers Female Aged Aged, 80 and over Male Middle Aged Humans
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Assistive Device for Efficient Intravitreal Injections.

Ophthalmic surgery, lasers & imaging retina Aug 1, 2016
Intravitreal therapy is the most common treatment for many chronic ophthalmic diseases, such as age-related macular degeneration. Due to the increasing worldwide demand for intravitreal injections, there exists a need to render this medical procedure...
Equipment Design Retinal Diseases Intravitreal Injections Animals Robotics Humans Tomography, Optical Coherence
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Anatomical and visual outcome of intravitreal bevacizumab (Avastin) in patients with diabetic macular edema.

Nepalese journal of ophthalmology : a biannual peer-reviewed academic journal of the Nepal Ophthalmic Society : NEPJOPH Jan 1, 2016
BACKGROUND: Intravitreal bevacizumab has been shown to be an effective treatment of diabetic macular edema.
Macular Edema Intravitreal Injections Recurrence Fluorescein Angiography Bevacizumab Humans Treatment Outcome Diabetic Retinopathy Visual Acuity Angiogenesis Inhibitors Corneal Topography Tomography, Optical Coherence
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Neural Network Analysis of Different Segmentation Strategies of Nerve Fiber Layer Assessment for Glaucoma Diagnosis.

Journal of glaucoma Dec 1, 2015
PURPOSE: To compare the diagnostic performance of different segmentations of the nerve fiber layer (NFL) thickness measurements using an artificial neural network and to define the optimal number of sectors with best diagnostic ability for glaucoma d...
Intraocular Pressure Male Glaucoma Humans Middle Aged Neural Networks, Computer Female Tomography, Optical Coherence ROC Curve Nerve Fibers Aged Retinal Ganglion Cells Cross-Sectional Studies
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Artificial Neural Network Approach for Differentiating Open-Angle Glaucoma From Glaucoma Suspect Without a Visual Field Test.

Investigative ophthalmology & visual science Jun 1, 2015
PURPOSE: To increase the effectiveness of treating open-angle glaucoma (OAG), we tried to find a screening method of differentiating OAG from glaucoma suspect (GS) without a visual field (VF) test.
Visual Acuity Diagnosis, Differential Predictive Value of Tests Tomography, Optical Coherence Nerve Fibers Glaucoma Glaucoma, Open-Angle Female Retinal Ganglion Cells Ocular Hypertension Risk Factors Multivariate Analysis Humans Intraocular Pressure Adult Aged Diagnostic Techniques, Ophthalmological Neural Networks, Computer Male Sensitivity and Specificity Middle Aged Cross-Sectional Studies Refractive Errors
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Predicting Semantic Descriptions from Medical Images with Convolutional Neural Networks.

Information processing in medical imaging : proceedings of the ... conference Jan 1, 2015
Learning representative computational models from medical imaging data requires large training data sets. Often, voxel-level annotation is unfeasible for sufficient amounts of data. An alternative to manual annotation, is to use the enormous amount o...
Retina Image Interpretation, Computer-Assisted Humans Reproducibility of Results Semantics Image Enhancement Neural Networks, Computer Pattern Recognition, Automated Sensitivity and Specificity Retinal Diseases Algorithms Tomography, Optical Coherence
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