AIMC Topic: Retinal Vessels

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Dual Encoder-Based Dynamic-Channel Graph Convolutional Network With Edge Enhancement for Retinal Vessel Segmentation.

IEEE transactions on medical imaging Aug 1, 2022
Retinal vessel segmentation with deep learning technology is a crucial auxiliary method for clinicians to diagnose fundus diseases. However, the deep learning approaches inevitably lose the edge information, which contains spatial features of vessels...
Neural Networks, Computer Fundus Oculi Retinal Vessels Image Processing, Computer-Assisted Algorithms
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Robust Detection Model of Vascular Landmarks for Retinal Image Registration: A Two-Stage Convolutional Neural Network.

BioMed research international Jul 30, 2022
Registration is useful for image processing in computer vision. It can be applied to retinal images and provide support for ophthalmologists in tracking disease progression and monitoring therapeutic responses. This study proposed a robust detection ...
Algorithms Neural Networks, Computer Retinal Vessels Retina Image Processing, Computer-Assisted
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RAVIR: A Dataset and Methodology for the Semantic Segmentation and Quantitative Analysis of Retinal Arteries and Veins in Infrared Reflectance Imaging.

IEEE journal of biomedical and health informatics Jul 1, 2022
The retinal vasculature provides important clues in the diagnosis and monitoring of systemic diseases including hypertension and diabetes. The microvascular system is of primary involvement in such conditions, and the retina is the only anatomical si...
Retinal Artery Retinal Vessels Algorithms Neural Networks, Computer Semantics Image Processing, Computer-Assisted Humans
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Early Diagnosis of Retinal Blood Vessel Damage via Deep Learning-Powered Collective Intelligence Models.

Computational and mathematical methods in medicine Jun 23, 2022
Early diagnosis of retinal diseases such as diabetic retinopathy has had the attention of many researchers. Deep learning through the introduction of convolutional neural networks has become a prominent solution for image-related tasks such as classi...
Deep Learning Humans Intelligence Neural Networks, Computer Retinal Vessels Early Diagnosis
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MTPA_Unet: Multi-Scale Transformer-Position Attention Retinal Vessel Segmentation Network Joint Transformer and CNN.

Sensors (Basel, Switzerland) Jun 17, 2022
Retinal vessel segmentation is extremely important for risk prediction and treatment of many major diseases. Therefore, accurate segmentation of blood vessel features from retinal images can help assist physicians in diagnosis and treatment. Convolut...
Neural Networks, Computer Image Processing, Computer-Assisted Retinal Vessels Attention Fundus Oculi
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Data-Driven Deep Supervision for Medical Image Segmentation.

IEEE transactions on medical imaging Jun 1, 2022
Medical image segmentation plays a vital role in disease diagnosis and analysis. However, data-dependent difficulties such as low image contrast, noisy background, and complicated objects of interest render the segmentation problem challenging. These...
Neural Networks, Computer Retinal Vessels Image Processing, Computer-Assisted
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Arterial Hypertension and the Hidden Disease of the Eye: Diagnostic Tools and Therapeutic Strategies.

Nutrients May 25, 2022
Hypertension is a major cardiovascular risk factor that is responsible for a heavy burden of morbidity and mortality worldwide. A critical aspect of cardiovascular risk estimation in hypertensive patients depends on the assessment of hypertension-med...
Retinal Vessels Hypertension Eye Risk Factors Humans Artificial Intelligence
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Improving sensitivity and connectivity of retinal vessel segmentation via error discrimination network.

Medical physics May 20, 2022
PURPOSE: Automated retinal vessel segmentation is crucial to the early diagnosis and treatment of ophthalmological diseases. Many deep-learning-based methods have shown exceptional success in this task. However, current approaches are still inadequat...
Retinal Vessels Algorithms Image Processing, Computer-Assisted ROC Curve Neural Networks, Computer
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MEA-Net: multilayer edge attention network for medical image segmentation.

Scientific reports May 12, 2022
Medical image segmentation is a fundamental step in medical analysis and diagnosis. In recent years, deep learning networks have been used for precise segmentation. Numerous improved encoder-decoder structures have been proposed for various segmentat...
Neural Networks, Computer Image Processing, Computer-Assisted Lung Retinal Vessels Thorax
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A Detailed Systematic Review on Retinal Image Segmentation Methods.

Journal of digital imaging May 4, 2022
The separation of blood vessels in the retina is a major aspect in detecting ailment and is carried out by segregating the retinal blood vessels from the fundus images. Moreover, it helps to provide earlier therapy for deadly diseases and prevent fur...
Retinal Vessels Retina Algorithms Neural Networks, Computer Fundus Oculi Image Processing, Computer-Assisted Humans
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