AIMC Topic: Blood Vessels

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A new dataset for measuring the performance of blood vessel segmentation methods under distribution shifts.

PloS one May 27, 2025
Creating a dataset for training supervised machine learning algorithms can be a demanding task. This is especially true for blood vessel segmentation since one or more specialists are usually required for image annotation, and creating ground truth l...
Humans Algorithms Microscopy, Fluorescence Supervised Machine Learning Blood Vessels Databases, Factual Image Processing, Computer-Assisted
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VSR-Net: Vessel-Like Structure Rehabilitation Network With Graph Clustering.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Feb 14, 2025
The morphologies of vessel-like structures, such as blood vessels and nerve fibres, play significant roles in disease diagnosis, e.g., Parkinson's disease. Although deep network-based refinement segmentation and topology-preserving segmentation metho...
Imaging, Three-Dimensional Cluster Analysis Parkinson Disease Databases, Factual Brain Image Interpretation, Computer-Assisted Blood Vessels Neural Networks, Computer Algorithms Humans
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Unraveling microglial spatial organization in the developing human brain with DeepCellMap, a deep learning approach coupled with spatial statistics.

Nature communications Feb 13, 2025
Mapping cellular organization in the developing brain presents significant challenges due to the multidimensional nature of the data, characterized by complex spatial patterns that are difficult to interpret without high-throughput tools. Here, we pr...
COVID-19 Blood Vessels Brain Image Processing, Computer-Assisted SARS-CoV-2 Microglia Deep Learning Female Humans
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A novel vessel enhancement method based on Hessian matrix eigenvalues using multilayer perceptron.

Bio-medical materials and engineering Jan 2, 2025
BACKGROUND: Vessel segmentation is a critical aspect of medical image processing, often involving vessel enhancement as a preprocessing step. Existing vessel enhancement methods based on eigenvalues of Hessian matrix face challenges such as inconsist...
Humans Neural Networks, Computer Algorithms Blood Vessels Multilayer Perceptrons Image Processing, Computer-Assisted Image Enhancement
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Deep learning for 3D vascular segmentation in hierarchical phase contrast tomography: a case study on kidney.

Scientific reports Nov 8, 2024
Automated blood vessel segmentation is critical for biomedical image analysis, as vessel morphology changes are associated with numerous pathologies. Still, precise segmentation is difficult due to the complexity of vascular structures, anatomical va...
Deep Learning Imaging, Three-Dimensional Humans Kidney Tomography, X-Ray Computed Blood Vessels Image Processing, Computer-Assisted
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Deep Closing: Enhancing Topological Connectivity in Medical Tubular Segmentation.

IEEE transactions on medical imaging Nov 4, 2024
Accurately segmenting tubular structures, such as blood vessels or nerves, holds significant clinical implications across various medical applications. However, existing methods often exhibit limitations in achieving satisfactory topological performa...
Image Processing, Computer-Assisted Blood Vessels Databases, Factual Deep Learning Humans Algorithms
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Untethered & Stiffness-Tunable Ferromagnetic Liquid Robots for Cleaning Thrombus in Complex Blood Vessels.

Advanced materials (Deerfield Beach, Fla.) Sep 23, 2024
Thrombosis is a significant threat to human health. However, the existing clinical treatment methods have limitations. Magnetic soft matter is used in the biomedical field for years, and ferromagnetic liquids exhibit tunable stiffness and on-demand m...
Animals Robotics Rabbits Thrombosis Magnetite Nanoparticles Humans Blood Vessels Magnetic Fields Finite Element Analysis
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Capsule networks for segmentation of small intravascular ultrasound image datasets.

International journal of computer assisted radiology and surgery Jun 14, 2021
PURPOSE: Intravascular ultrasound (IVUS) imaging is crucial for planning and performing percutaneous coronary interventions. Automatic segmentation of lumen and vessel wall in IVUS images can thus help streamlining the clinical workflow. State-of-the...
Blood Vessels Image Processing, Computer-Assisted Ultrasonography, Interventional Humans Neural Networks, Computer
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SSCA-Net: Simultaneous Self- and Channel-Attention Neural Network for Multiscale Structure-Preserving Vessel Segmentation.

BioMed research international Mar 30, 2021
Vessel segmentation is a fundamental, yet not well-solved problem in medical image analysis, due to the complicated geometrical and topological structures of human vessels. Unlike existing rule- and conventional learning-based techniques, which hardl...
Image Processing, Computer-Assisted Algorithms Humans Databases as Topic Leg Deep Learning Neural Networks, Computer Arteries Blood Vessels
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A Deep Segmentation Network of Multi-Scale Feature Fusion Based on Attention Mechanism for IVOCT Lumen Contour.

IEEE/ACM transactions on computational biology and bioinformatics Feb 3, 2021
Recently, coronary heart disease has attracted more and more attention, where segmentation and analysis for vascular lumen contour are helpful for treatment. And intravascular optical coherence tomography (IVOCT) images are used to display lumen shap...
Databases, Factual Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Blood Vessels Tomography, Optical Coherence Endovascular Procedures
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