Medical image segmentation: a brief survey
Abstract Accurate segmentation of 2-D, 3-D, and 4-D medical images to isolate anatomical
objects of interest for analysis is essential in almost any computer-aided diagnosis system or …
objects of interest for analysis is essential in almost any computer-aided diagnosis system or …
Incorporating prior knowledge in medical image segmentation: a survey
MS Nosrati, G Hamarneh - arXiv preprint arXiv:1607.01092, 2016 - arxiv.org
Medical image segmentation, the task of partitioning an image into meaningful parts, is an
important step toward automating medical image analysis and is at the crux of a variety of …
important step toward automating medical image analysis and is at the crux of a variety of …
Vessels as 4-D curves: Global minimal 4-D paths to extract 3-D tubular surfaces and centerlines
In this paper, we propose an innovative approach to the segmentation of tubular structures.
This approach combines all of the benefits of minimal path techniques such as global …
This approach combines all of the benefits of minimal path techniques such as global …
Multiple hypothesis template tracking of small 3D vessel structures
O Friman, M Hindennach, C Kühnel, HO Peitgen - Medical image analysis, 2010 - Elsevier
A multiple hypothesis tracking approach to the segmentation of small 3D vessel structures is
presented. By simultaneously tracking multiple hypothetical vessel trajectories, low contrast …
presented. By simultaneously tracking multiple hypothetical vessel trajectories, low contrast …
Automatic urban building boundary extraction from high resolution aerial images using an innovative model of active contours
To present a new method for building boundary detection and extraction based on the active
contour model, is the main objective of this research. Classical models of this type are …
contour model, is the main objective of this research. Classical models of this type are …
Development of a quantitative intracranial vascular features extraction tool on 3 D MRA using semiautomated open‐curve active contour vessel tracing
L Chen, M Mossa‐Basha, N Balu… - Magnetic resonance …, 2018 - Wiley Online Library
Purpose To develop a quantitative intracranial artery measurement technique to extract
comprehensive artery features from time‐of‐flight MR angiography (MRA). Methods By …
comprehensive artery features from time‐of‐flight MR angiography (MRA). Methods By …
VascuSynth: Simulating vascular trees for generating volumetric image data with ground-truth segmentation and tree analysis
G Hamarneh, P Jassi - Computerized medical imaging and graphics, 2010 - Elsevier
Automated segmentation and analysis of tree-like structures from 3D medical images are
important for many medical applications, such as those dealing with blood vasculature or …
important for many medical applications, such as those dealing with blood vasculature or …
Attention-assisted adversarial model for cerebrovascular segmentation in 3D TOF-MRA volumes
Cerebrovascular segmentation in time-of-flight magnetic resonance angiography (TOF-
MRA) volumes is essential for a variety of diagnostic and analytical applications. However …
MRA) volumes is essential for a variety of diagnostic and analytical applications. However …
Self-supervised learning for accurately modelling hierarchical evolutionary patterns of cerebrovasculature
Cerebrovascular abnormalities are critical indicators of stroke and neurodegenerative
diseases like Alzheimer's disease (AD). Understanding the normal evolution of brain vessels …
diseases like Alzheimer's disease (AD). Understanding the normal evolution of brain vessels …
Vascular active contour for vessel tree segmentation
Y Shang, R Deklerck, E Nyssen… - IEEE Transactions …, 2010 - ieeexplore.ieee.org
In this paper, a novel active contour model is proposed for vessel tree segmentation. First,
we introduce a region competition-based active contour model exploiting the Gaussian …
we introduce a region competition-based active contour model exploiting the Gaussian …