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Automated end-to-end Architecture for Retinal Layers and Fluids Segmentation on OCT B-scans
Age-related macular degeneration (AMD) is a degenerative retina condition that causes notable visual impairment in the central area of the visual...
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Survey on retinal vessel segmentation
The primary causes of vision loss are disorders of the retina, such as diabetic retinopathy (DR). The ability to segment blood vessels in retinal...
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Abstract: Shape-based Segmentation of Retinal Layers and Fluids in OCT Image Data
Optical coherence tomography (OCT) offers non-invasive imaging of the retina and has been well established in the field of ophthalmology for several...
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An improved method for retinal vessel segmentation in U-Net
The utilization of retinal vessel images is prevalent in the diagnosis of numerous diseases, such as chronic vascular diseases, diabetic retinopathy,...
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RLeU-Net: Segmentation of blood vessels in retinal fundus images for Diabetic Retinopathy Screening
Diabetic Retinopathy (DR) is a primitive cause of blindness in diabetic patients. There are chances for DR in certain cases, due to the damage in the...
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Recurrent Residual Puzzle based Encoder Decoder Network (R2-PED) model for retinal vessel segmentation
The retina is considered the most important part of the eye, containing numerous light, cone, rod and nerve cells. The retina collects and...
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Retinal blood vessel segmentation using a deep learning method based on modified U-NET model
Retinal blood vessel segmentation is important for detection of several highly prevalent, vision-threatening diseases such as diabetic retinopathy....
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NAUNet: lightweight retinal vessel segmentation network with nested connections and efficient attention
The state of retinal vessels in fundus images is a reliable biomarker for many diseases, and the accurate segmentation of retinal vessels is...
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Global relationship memory network for retinal capillary segmentation on optical coherence tomography angiography images
Automatic retinal capillary segmentation is a necessary prerequisite for quantitatively analyzing retinal vessels. In recent years, active research...
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Retinal vessel segmentation based on self-distillation and implicit neural representation
Segmenting retinal blood vessels from retinal images is a crucial step in ocular disease diagnosis. It is also one of the most important applications...
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An automated hybrid decoupled convolutional network for laceration segmentation and grading of retinal diseases using optical coherence tomography (OCT) images
Diabetic retinopathy (DR) is a complication of diabetes that damages the retina and can cause blindness if untreated due to high blood sugar levels....
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Multi-dimensional cascades neural network models for the segmentation of retinal vessels in colour fundus images
Deep learning has recently received attention as one of the most popular methods for boosting performance in different sectors, including medical...
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Deep-learning based system for effective and automatic blood vessel segmentation from Retinal fundus images
The segmentation of blood vessels through color fundus images is a difficult and time-consuming task that requires experienced clinicians. Recently,...
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PCRTAM-Net: A Novel Pre-Activated Convolution Residual and Triple Attention Mechanism Network for Retinal Vessel Segmentation
Retinal images play an essential role in the early diagnosis of ophthalmic diseases. Automatic segmentation of retinal vessels in color fundus images...
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Glaucoma Detection with Retinal Fundus Images Using Segmentation and Classification
Glaucoma is a prevalent cause of blindness worldwide. If not treated promptly, it can cause vision and quality of life to deteriorate. According to...
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Retinal vessel segmentation by using AFNet
Retinal vessel segmentation can obtain rich ocular information which is important for the diagnosis of fundus diseases. To address the problems of...
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HRNet:A hierarchical recurrent convolution neural network for retinal vessel segmentation
The extraction of retinal vessel is of great importance in the diagnosis of fundus disease. Many approaches have been proposed for vessel...
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SCOPE: Structural Continuity Preservation for Retinal Vessel Segmentation
Although the preservation of shape continuity and physiological anatomy is a natural assumption in the segmentation of medical images, it is often...
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Analysis of retinal blood vessel segmentation techniques: a systematic survey
Segmentation of Blood Vessel is a challenging mission in medical image processing to diagnose the disease. It evaluates vessels crucial in automatic...
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ARDC-UNet retinal vessel segmentation with adaptive residual deformable convolutional based U-Net
To extract maximum features ResAttNet (RAN) network structure is chosen as an alternative to the convolutional layer and it enhances image feature...
