Topics
image segmentationElection
MRITopical concept
Medical image segmentation is applied to extract vascular structures from various medical images, such as CT (Computed Tomography), MRI (Magnetic Resonance Imaging). In this pa-per, existing algorithms for vasculature segmentation are clas-sified into several categories, and a thorough literature review is given to discuss their main ideas, pros and cons. Based on the review, some possible research topic is proposed. Some pre-liminary work is also presented. And the experimental results are discussed
Abstract—The main aim of the work is to develop an algorithm for creation of three-dimensional model...
Abstract. A synthesis of the authors ’ projects in the last decade, in the field of 3D vascular imag...
Various physiological modelling studies require isolating the anatomy of interest from medical imag...
Image segmentation is the problem of partitioning an image into meaningful parts, often consisting o...
Image segmentation is the problem of partitioning an image into meaningful parts, often consisting o...
In this paper, we present a novel vasculature segmentation algorithm that incorporates the knowledge...
Medical imaging is an important part of the clinical workflow. With the increasing amount and comple...
Medical imaging is an important part of the clinical workflow. With the increasing amount and comple...
Medical imaging is nowadays much more than only providing data for diagnosis. It also links 'classic...
AbstractIn this paper, an algorithm for the extraction of linear structures from medical images is i...
Computer-assisted detection and segmentation of blood vessels in angiography are crucial for endovas...
The article discusses the design of appropriate methodology of segmentation and visualization of MRI...
International audienceThe important rise of medical imaging during the 20th century, mainly induced ...
International audienceThe important rise of medical imaging during the 20th century, mainly induced ...
International audienceThe important rise of medical imaging during the 20th century, mainly induced ...
Abstract—The main aim of the work is to develop an algorithm for creation of three-dimensional model...
Abstract. A synthesis of the authors ’ projects in the last decade, in the field of 3D vascular imag...
Various physiological modelling studies require isolating the anatomy of interest from medical imag...
Image segmentation is the problem of partitioning an image into meaningful parts, often consisting o...
Image segmentation is the problem of partitioning an image into meaningful parts, often consisting o...
In this paper, we present a novel vasculature segmentation algorithm that incorporates the knowledge...
Medical imaging is an important part of the clinical workflow. With the increasing amount and comple...
Medical imaging is an important part of the clinical workflow. With the increasing amount and comple...
Medical imaging is nowadays much more than only providing data for diagnosis. It also links 'classic...
AbstractIn this paper, an algorithm for the extraction of linear structures from medical images is i...
Computer-assisted detection and segmentation of blood vessels in angiography are crucial for endovas...
The article discusses the design of appropriate methodology of segmentation and visualization of MRI...
International audienceThe important rise of medical imaging during the 20th century, mainly induced ...
International audienceThe important rise of medical imaging during the 20th century, mainly induced ...
International audienceThe important rise of medical imaging during the 20th century, mainly induced ...
Abstract—The main aim of the work is to develop an algorithm for creation of three-dimensional model...
Abstract. A synthesis of the authors ’ projects in the last decade, in the field of 3D vascular imag...
Various physiological modelling studies require isolating the anatomy of interest from medical imag...
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