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Blood vessel segmentation algorithms—review of methods, datasets and evaluation metrics
S Moccia, E De Momi, S El Hadji, LS Mattos - Computer methods and …, 2018 - Elsevier
Background Blood vessel segmentation is a topic of high interest in medical image analysis
since the analysis of vessels is crucial for diagnosis, treatment planning and execution, and …
since the analysis of vessels is crucial for diagnosis, treatment planning and execution, and …
A review of 3D vessel lumen segmentation techniques: Models, features and extraction schemes
D Lesage, ED Angelini, I Bloch, G Funka-Lea - Medical image analysis, 2009 - Elsevier
Vascular diseases are among the most important public health problems in developed
countries. Given the size and complexity of modern angiographic acquisitions, segmentation …
countries. Given the size and complexity of modern angiographic acquisitions, segmentation …
Automatic crack detection on two-dimensional pavement images: An algorithm based on minimal path selection
This paper proposes a new algorithm for automatic crack detection from 2D pavement
images. It strongly relies on the localization of minimal paths within each image, a path …
images. It strongly relies on the localization of minimal paths within each image, a path …
[HTML][HTML] Patient-specific modeling of blood flow in the coronary arteries
CA Taylor, K Petersen, N **ao, M Sinclair, Y Bai… - Computer Methods in …, 2023 - Elsevier
Patient-specific models of blood flow in the coronary arteries have entered clinical practice
worldwide to aid in the diagnosis and management of heart disease. This technology …
worldwide to aid in the diagnosis and management of heart disease. This technology …
Graph cuts and efficient ND image segmentation
Y Boykov, G Funka-Lea - International journal of computer vision, 2006 - Springer
Combinatorial graph cut algorithms have been successfully applied to a wide range of
problems in vision and graphics. This paper focusses on possibly the simplest application of …
problems in vision and graphics. This paper focusses on possibly the simplest application of …
A survey of graph theoretical approaches to image segmentation
Image segmentation is a fundamental problem in computer vision. Despite many years of
research, general purpose image segmentation is still a very challenging task because …
research, general purpose image segmentation is still a very challenging task because …
Fast global minimization of the active contour/snake model
X Bresson, S Esedoḡlu, P Vandergheynst… - Journal of Mathematical …, 2007 - Springer
The active contour/snake model is one of the most successful variational models in image
segmentation. It consists of evolving a contour in images toward the boundaries of objects …
segmentation. It consists of evolving a contour in images toward the boundaries of objects …
[ספר][B] Geometric partial differential equations and image analysis
G Sapiro - 2006 - books.google.com
This book provides an introduction to the use of geometric partial differential equations in
image processing and computer vision. This research area brings a number of new …
image processing and computer vision. This research area brings a number of new …
A morphological approach to curvature-based evolution of curves and surfaces
P Marquez-Neila, L Baumela… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
We introduce new results connecting differential and morphological operators that provide a
formal and theoretically grounded approach for stable and fast contour evolution. Contour …
formal and theoretically grounded approach for stable and fast contour evolution. Contour …
Interactive segmentation with intelligent scissors
EN Mortensen, WA Barrett - Graphical models and image processing, 1998 - Elsevier
We present a new, interactive tool calledIntelligent Scissorswhich we use for image
segmentation. Fully automated segmentation is an unsolved problem, while manual tracing …
segmentation. Fully automated segmentation is an unsolved problem, while manual tracing …