AIMC Topic: Retinal Vessels

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Multiloss Function Based Deep Convolutional Neural Network for Segmentation of Retinal Vasculature into Arterioles and Venules.

BioMed research international Apr 14, 2019
The arterioles and venules (AV) classification of retinal vasculature is considered as the first step in the development of an automated system for analysing the vasculature biomarker association with disease prognosis. Most of the existing AV classi...
Biomarkers Deep Learning Arterioles Venules Retinal Vessels Neural Networks, Computer Algorithms Humans
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Generating retinal flow maps from structural optical coherence tomography with artificial intelligence.

Scientific reports Apr 5, 2019
Despite advances in artificial intelligence (AI), its application in medical imaging has been burdened and limited by expert-generated labels. We used images from optical coherence tomography angiography (OCTA), a relatively new imaging modality that...
Diabetic Retinopathy Artificial Intelligence Deep Learning Humans Retinal Diseases Angiography Retinal Vessels Tomography, Optical Coherence Regional Blood Flow
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BTS-DSN: Deeply supervised neural network with short connections for retinal vessel segmentation.

International journal of medical informatics Apr 1, 2019
BACKGROUND AND OBJECTIVE: The condition of vessel of the human eye is an important factor for the diagnosis of ophthalmological diseases. Vessel segmentation in fundus images is a challenging task due to complex vessel structure, the presence of simi...
Retinal Vessels Humans Neural Networks, Computer Fundus Oculi Supervised Machine Learning Algorithms
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CE-Net: Context Encoder Network for 2D Medical Image Segmentation.

IEEE transactions on medical imaging Mar 7, 2019
Medical image segmentation is an important step in medical image analysis. With the rapid development of a convolutional neural network in image processing, deep learning has been used for medical image segmentation, such as optic disc segmentation, ...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Retina Retinal Vessels Algorithms Lung
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Retinal blood vessel extraction employing effective image features and combination of supervised and unsupervised machine learning methods.

Artificial intelligence in medicine Mar 2, 2019
In medicine, retinal vessel analysis of fundus images is a prominent task for the screening and diagnosis of various ophthalmological and cardiovascular diseases. In this research, a method is proposed for extracting the retinal blood vessels employi...
Image Processing, Computer-Assisted Cluster Analysis Decision Trees Humans Algorithms Retinal Vessels Unsupervised Machine Learning Supervised Machine Learning
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A novel retinal vessel detection approach based on multiple deep convolution neural networks.

Computer methods and programs in biomedicine Oct 30, 2018
BACKGROUND AND OBJECTIVE: Computer aided detection (CAD) offers an efficient way to assist doctors to interpret fundus images. In a CAD system, retinal vessel (RV) detection is a crucial step to identify the retinal disease regions. However, RV detec...
Retinal Vessels Humans Diagnosis, Computer-Assisted Algorithms Reproducibility of Results Computer Systems Neural Networks, Computer Fundus Oculi Models, Statistical Sensitivity and Specificity Machine Learning Retinal Diseases
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A Three-Stage Deep Learning Model for Accurate Retinal Vessel Segmentation.

IEEE journal of biomedical and health informatics Sep 28, 2018
Automatic retinal vessel segmentation is a fundamental step in the diagnosis of eye-related diseases, in which both thick vessels and thin vessels are important features for symptom detection. All existing deep learning models attempt to segment both...
Deep Learning Image Processing, Computer-Assisted Retinal Vessels Humans Image Interpretation, Computer-Assisted Algorithms Databases, Factual
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Synthesizing retinal and neuronal images with generative adversarial nets.

Medical image analysis Jul 4, 2018
This paper aims at synthesizing multiple realistic-looking retinal (or neuronal) images from an unseen tubular structured annotation that contains the binary vessel (or neuronal) morphology. The generated phantoms are expected to preserve the same tu...
Retinal Vessels Humans Retinal Neurons Image Processing, Computer-Assisted Diagnostic Techniques, Ophthalmological Phantoms, Imaging Neural Networks, Computer Algorithms
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Retinal blood vessel segmentation using fully convolutional network with transfer learning.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 26, 2018
Since the retinal blood vessel has been acknowledged as an indispensable element in both ophthalmological and cardiovascular disease diagnosis, the accurate segmentation of the retinal vessel tree has become the prerequisite step for automated or com...
Image Processing, Computer-Assisted Humans Neural Networks, Computer Retinal Vessels Databases, Factual Deep Learning
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Joint Segment-Level and Pixel-Wise Losses for Deep Learning Based Retinal Vessel Segmentation.

IEEE transactions on bio-medical engineering Apr 19, 2018
OBJECTIVE: Deep learning based methods for retinal vessel segmentation are usually trained based on pixel-wise losses, which treat all vessel pixels with equal importance in pixel-to-pixel matching between a predicted probability map and the correspo...
Databases, Factual Deep Learning Humans Retinal Vessels Algorithms Image Interpretation, Computer-Assisted Diagnostic Techniques, Ophthalmological
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