Chapter 3International audienceSegmentation is one of the key tools in medical image analysis. The objective of segmentation is to provide reliable, fast, and effective organ delineation. While traditionally, particularly in computer vision, segmentation is seen as an early vision tool used for subsequent recognition, in medical imaging the opposite is often true. Recognition can be performed interactively by clinicians or automatically using robust techniques, while the objective of segmentation is to precisely delineate contours and surfaces. This can lead to effective techniques known as "intelligent scissors" in 2D and their equivalent in 3D
The main goal of image segmentation is partitioning of an image into a set of disjoint regions that ...
Brain tumor segmentation in magnetic resonance imaging (MRI) is considered a complex procedure becau...
©2003 Springer. The original publication is available at www.springerlink.com: http://dx.doi.org/10....
Chapter 3International audienceSegmentation is one of the key tools in medical image analysis. The o...
Segmentation techniques are widely used in for the application of Medical Images. These techniques ...
Segmentation is one of the key tools in medical image analysis that allows an accurate recognizing a...
International audienceTechnological advances in medical imaging have been extremely fast over the la...
Image segmentation is the procedure of separating an image into significant areas based on similarit...
This paper makes a review on the current segmentation algorithms used for medical images. Algorithms...
Diagnosis by medical images implies the expert ability of recognizing patterns of interest in terms ...
Image segmentation is the problem of partitioning an image into meaningful parts, often consisting o...
For medical diagnosis and laboratory study applications we cannot directly use image that are acquir...
The present special issue of the Journal of Healthcare Engineering collects articles written by rese...
Prior to medical image analysis, segmentation is an essential step in the preprocessing process. Par...
Semi-automatic and fully automatic contouring tools have emerged as an alternative to fully manual s...
The main goal of image segmentation is partitioning of an image into a set of disjoint regions that ...
Brain tumor segmentation in magnetic resonance imaging (MRI) is considered a complex procedure becau...
©2003 Springer. The original publication is available at www.springerlink.com: http://dx.doi.org/10....
Chapter 3International audienceSegmentation is one of the key tools in medical image analysis. The o...
Segmentation techniques are widely used in for the application of Medical Images. These techniques ...
Segmentation is one of the key tools in medical image analysis that allows an accurate recognizing a...
International audienceTechnological advances in medical imaging have been extremely fast over the la...
Image segmentation is the procedure of separating an image into significant areas based on similarit...
This paper makes a review on the current segmentation algorithms used for medical images. Algorithms...
Diagnosis by medical images implies the expert ability of recognizing patterns of interest in terms ...
Image segmentation is the problem of partitioning an image into meaningful parts, often consisting o...
For medical diagnosis and laboratory study applications we cannot directly use image that are acquir...
The present special issue of the Journal of Healthcare Engineering collects articles written by rese...
Prior to medical image analysis, segmentation is an essential step in the preprocessing process. Par...
Semi-automatic and fully automatic contouring tools have emerged as an alternative to fully manual s...
The main goal of image segmentation is partitioning of an image into a set of disjoint regions that ...
Brain tumor segmentation in magnetic resonance imaging (MRI) is considered a complex procedure becau...
©2003 Springer. The original publication is available at www.springerlink.com: http://dx.doi.org/10....