AIMC Topic: Retina

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A machine learning approach for automated assessment of retinal vasculature in the oxygen induced retinopathy model.

Scientific reports Mar 2, 2018
Preclinical studies of vascular retinal diseases rely on the assessment of developmental dystrophies in the oxygen induced retinopathy rodent model. The quantification of vessel tufts and avascular regions is typically computed manually from flat mou...
Machine Learning Retina Animals, Newborn Retinopathy of Prematurity Retinal Neovascularization Animals Mice Oxygen
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Segmentation of Intra-Retinal Cysts From Optical Coherence Tomography Images Using a Fully Convolutional Neural Network Model.

IEEE journal of biomedical and health informatics Feb 28, 2018
Optical coherence tomography (OCT) is an imaging modality that is used extensively for ophthalmic diagnosis, near-histological visualization, and quantification of retinal abnormalities such as cysts, exudates, retinal layer disorganization, etc. Int...
Image Interpretation, Computer-Assisted Retinal Diseases Cysts Retina Macular Edema Humans Neural Networks, Computer Tomography, Optical Coherence
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Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning.

Nature biomedical engineering Feb 19, 2018
Traditionally, medical discoveries are made by observing associations, making hypotheses from them and then designing and running experiments to test the hypotheses. However, with medical images, observing and quantifying associations can often be di...
Female Risk Factors Aged Humans Algorithms Middle Aged Deep Learning Fundus Oculi Aged, 80 and over Male Cardiovascular Diseases Retina Image Interpretation, Computer-Assisted
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Surrogate-Assisted Retinal OCT Image Classification Based on Convolutional Neural Networks.

IEEE journal of biomedical and health informatics Feb 12, 2018
Optical Coherence Tomography (OCT) is beco-ming one of the most important modalities for the noninvasive assessment of retinal eye diseases. As the number of acquired OCT volumes increases, automating the OCT image analysis is becoming increasingly r...
Retina Image Interpretation, Computer-Assisted Neural Networks, Computer Retinal Diseases Humans Algorithms Tomography, Optical Coherence
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Deep Convolutional Neural Network-Based Early Automated Detection of Diabetic Retinopathy Using Fundus Image.

Molecules (Basel, Switzerland) Nov 23, 2017
The automatic detection of diabetic retinopathy is of vital importance, as it is the main cause of irreversible vision loss in the working-age population in the developed world. The early detection of diabetic retinopathy occurrence can be very helpf...
Fluorescein Angiography Image Processing, Computer-Assisted Fundus Oculi Retina Diabetic Retinopathy Neural Networks, Computer Algorithms Humans
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A Machine Learning Ensemble Classifier for Early Prediction of Diabetic Retinopathy.

Journal of medical systems Nov 9, 2017
The main complication of diabetes is Diabetic retinopathy (DR), retinal vascular disease and it leads to the blindness. Regular screening for early DR disease detection is considered as an intensive labor and resource oriented task. Therefore, automa...
Image Interpretation, Computer-Assisted Humans Diabetic Retinopathy Machine Learning Algorithms Retina
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Multi-categorical deep learning neural network to classify retinal images: A pilot study employing small database.

PloS one Nov 2, 2017
Deep learning emerges as a powerful tool for analyzing medical images. Retinal disease detection by using computer-aided diagnosis from fundus image has emerged as a new method. We applied deep learning convolutional neural network by using MatConvNe...
Learning Pilot Projects Retina Diabetic Retinopathy Neural Networks, Computer Humans Databases, Factual
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End-to-End Adversarial Retinal Image Synthesis.

IEEE transactions on medical imaging Oct 2, 2017
In medical image analysis applications, the availability of the large amounts of annotated data is becoming increasingly critical. However, annotated medical data is often scarce and costly to obtain. In this paper, we address the problem of synthesi...
Neural Networks, Computer Retinal Vessels Humans Retina Algorithms Diagnostic Techniques, Ophthalmological Image Processing, Computer-Assisted
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Pneumatic Displacement of Submacular Hemorrhage with Subretinal Air and Tissue Plasminogen Activator: Initial United States Experience.

Ophthalmology. Retina Sep 28, 2017
PURPOSE: To present the initial multicenter experience of using subretinal air injection in combination with tissue plasminogen activator (tPA) at the time of pars plana vitrectomy (PPV) to displace submacular hemorrhage (SMH).
Retina Middle Aged Retinal Hemorrhage Tissue Plasminogen Activator Aged Treatment Outcome Vitrectomy Time Factors Air Aged, 80 and over Follow-Up Studies Endotamponade United States Fibrinolytic Agents Male Visual Acuity Humans Fluorescein Angiography Tomography, Optical Coherence Retrospective Studies Fundus Oculi Injections, Intraocular Female
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Scaling up liquid state machines to predict over address events from dynamic vision sensors.

Bioinspiration & biomimetics Sep 1, 2017
Short-term visual prediction is important both in biology and robotics. It allows us to anticipate upcoming states of the environment and therefore plan more efficiently. In theoretical neuroscience, liquid state machines have been proposed as a biol...
Humans Neural Networks, Computer Algorithms Robotics Equipment Design Retina Simulation Training Biomimetics Motion Perception Vision, Ocular Biomimetic Materials
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