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Vessel Trajectory Segmentation: A Survey
Vessel trajectory data, usually derived from AIS data, serves as a robust foundation for extensive research on vessel movements and behaviors. The...
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A dual-path U-Net for pulmonary vessel segmentation method based on lightweight 3D attention
In recent years, pulmonary vessel segmentation has aroused widespread interest in medical image analysis. However, the structure of pulmonary vessels...
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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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A Transformer-Assisted Cascade Learning Network for Choroidal Vessel Segmentation
As a highly vascular eye part, the choroid is crucial in various eye disease diagnoses. However, limited research has focused on the inner structure...
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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...
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Features fusion based novel approach for efficient blood vessel segmentation from fundus images
Insufficient blood flow within the retinal vessels is believed to be the root cause of several optical problems, including partial vision loss and...
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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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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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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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Short and Long Term Vessel Movement Prediction for Maritime Traffic
In maritime traffic management, the precise prediction of vessel trajectories is paramount, given the industry’s substantial dependence on vessel...
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A new segment method for pulmonary artery and vein
Accurate differentiation between pulmonary arteries and veins (A/V) holds pivotal importance in the realm of diagnosing and treating pulmonary...
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An adaptive and statistical approach for blood vessel segmentation using genetic algorithm
The detection of linear tree structures such as blood vessels is an important procedure for computer-aided diagnosis and further follow-up in certain...
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Exploring autoregression patterns for automatic vessel type classification
Automatic classification of vessel types in the maritime domain is one of the challenging problems due to the complexity of moving patterns in the...
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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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Semi-supervised Retinal Vessel Segmentation Through Point Consistency
Retinal vessels usually serve as biomarkers for early diagnosis and treatment of ophthalmic and systemic diseases. However, collecting and labeling...
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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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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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Optimized KiU-Net: Lightweight Convolutional Neural Network for Retinal Vessel Segmentation in Medical Images
Medical image segmentation helps with computer-assisted disease analysis, operations, and therapy. Blood vessel segmentation is very important for...
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Segmentation of retinal blood vessel using generalized extreme value probability distribution function(pdf)-based matched filter approach
Retinal vessels’ segmentation is challenging to detect blood vessels for diagnosing diseases such as hypertension, diabetes, and glaucoma. Retinal...
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Spatial multi-scale attention U-improved network for blood vessel segmentation
Vessel segmentation in digital subtraction angiography (DSA) is of great significance for the diagnosis, evaluation and detection of cerebral...
