Current methods in medical image segmentation
▪ Abstract Image segmentation plays a crucial role in many medical-imaging applications, by
automating or facilitating the delineation of anatomical structures and other regions of …
automating or facilitating the delineation of anatomical structures and other regions of …
Brain segmentation and white matter lesion detection in MR images.
AP Zijdenbos, BM Dawant - Critical reviews in biomedical …, 1994 - europepmc.org
This paper presents a review of methods and techniques that have been proposed for the
segmentation of magnetic resonance (MR) images of the brain, with a special emphasis on …
segmentation of magnetic resonance (MR) images of the brain, with a special emphasis on …
A chronology of interpolation: from ancient astronomy to modern signal and image processing
E Meijering - Proceedings of the IEEE, 2002 - ieeexplore.ieee.org
This paper presents a chronological overview of the developments in interpolation theory,
from the earliest times to the present date. It brings out the connections between the results …
from the earliest times to the present date. It brings out the connections between the results …
Non‐invasive assessment of axonal fiber connectivity in the human brain via diffusion tensor MRI
A technique for assessing in vivo fiber connectivity in the human brain is presented. The
method utilizes a novel connectivity algorithm that operates in three spatial dimensions and …
method utilizes a novel connectivity algorithm that operates in three spatial dimensions and …
An adaptive differential evolution algorithm to optimal multi-level thresholding for MRI brain image segmentation
O Tarkhaneh, H Shen - Expert Systems with Applications, 2019 - Elsevier
Segmentation is an important method for MRI medical image analysis as it can provide the
radiologists with noninvasive information about a patient that is crucial to the diagnostic …
radiologists with noninvasive information about a patient that is crucial to the diagnostic …
Segmentation of multiple sclerosis lesions in intensity corrected multispectral MRI
B Johnston, MS Atkins, B Mackiewich… - IEEE transactions on …, 1996 - ieeexplore.ieee.org
To segment brain tissues in magnetic resonance images of the brain, the authors have
implemented a stochastic relaxation method which utilizes partial volume analysis for every …
implemented a stochastic relaxation method which utilizes partial volume analysis for every …
An accurate and efficient Bayesian method for automatic segmentation of brain MRI
Automatic three-dimensional (3-D) segmentation of the brain from magnetic resonance (MR)
scans is a challenging problem that has received an enormous amount of attention lately. Of …
scans is a challenging problem that has received an enormous amount of attention lately. Of …
Creating connected representations of cortical gray matter for functional MRI visualization
Describes a system that is being used to segment gray matter from magnetic resonance
imaging (MRI) and to create connected cortical representations for functional MRI …
imaging (MRI) and to create connected cortical representations for functional MRI …
[图书][B] Handbook of neural computation
E Fiesler, R Beale - 2020 - books.google.com
The Handbook of Neural Computation is a practical, hands-on guide to the design and
implementation of neural networks used by scientists and engineers to tackle difficult and/or …
implementation of neural networks used by scientists and engineers to tackle difficult and/or …
Optimal multilevel thresholding selection for brain MRI image segmentation based on adaptive wind driven optimization
Medical image processing is one of the real research regions in the most recent four
decades. Numerous researchers have contributed very great algorithms and reported …
decades. Numerous researchers have contributed very great algorithms and reported …