Add to ORKGIn this paper we describe the first prototype of a distributed medical imaging system suitable for the visualisation and processing of medical images. The prototype is an object- oriented client-server system that provides a complete framework for the interactive segmentation of blood vessel contours from X-Ray Computed Tomography (CT) or Magnetic Resonance Imaging (MRI) scans, using the Generalised Active Contours Model. The system has been implemented exploiting the benefits of recent software developments, such as the Java programming language and the CORBA distributed object technology, which simplify the building, the maintenance and the portability of this kind of distributed applications
Thesis is about image segmentation on the medical aplications domain. It describes already existing ...
The thesis considers use of Java language in interactive 3D displaying of medical image data. Main p...
Image segmentation is defined as partitioning an image into non-overlapping regions based on the int...
. In this paper we describe the first prototype of a distributed medical imaging system suitable for...
Abstract- Digital medical informatics and images are commonly used in hospitals today,. Because of t...
: In this paper we present a method for segmentation of medical images based on a deformable contour...
algorithm is reported, and demonstrated in use for interpreting medical images. The SIMD machine act...
Abstract: Recent developments on medical imaging techniques have brought a completely new research f...
Potential contours are methods for automatic image analysis. In the present paper, potential contour...
International audienceWe investigate a novel, parallel implementation of active contours for image s...
International audienceWe propose a web-accessible image visualization and processing framework well-...
Abstract—Medical image segmentation allow medical doctors to interpret medical images more accuratel...
International audienceIn this paper we present a new algorithm to track an organ in a sequence of me...
In medical visualization, segmentation is an important step prior to rendering. However, it is also ...
Figure 1: Our framework enables visualization and processing of large medical images on modest compu...
Thesis is about image segmentation on the medical aplications domain. It describes already existing ...
The thesis considers use of Java language in interactive 3D displaying of medical image data. Main p...
Image segmentation is defined as partitioning an image into non-overlapping regions based on the int...
. In this paper we describe the first prototype of a distributed medical imaging system suitable for...
Abstract- Digital medical informatics and images are commonly used in hospitals today,. Because of t...
: In this paper we present a method for segmentation of medical images based on a deformable contour...
algorithm is reported, and demonstrated in use for interpreting medical images. The SIMD machine act...
Abstract: Recent developments on medical imaging techniques have brought a completely new research f...
Potential contours are methods for automatic image analysis. In the present paper, potential contour...
International audienceWe investigate a novel, parallel implementation of active contours for image s...
International audienceWe propose a web-accessible image visualization and processing framework well-...
Abstract—Medical image segmentation allow medical doctors to interpret medical images more accuratel...
International audienceIn this paper we present a new algorithm to track an organ in a sequence of me...
In medical visualization, segmentation is an important step prior to rendering. However, it is also ...
Figure 1: Our framework enables visualization and processing of large medical images on modest compu...
Thesis is about image segmentation on the medical aplications domain. It describes already existing ...
The thesis considers use of Java language in interactive 3D displaying of medical image data. Main p...
Image segmentation is defined as partitioning an image into non-overlapping regions based on the int...