Low-level segmentation of 3-D magnetic resonance brain images-a rule-based system
SP Raya - IEEE transactions on Medical Imaging, 1990 - ieeexplore.ieee.org
A rule-based, low-level segmentation system that can automatically identify the space
occupied by different structures of the brain by magnetic resonance imaging (MRI) is …
occupied by different structures of the brain by magnetic resonance imaging (MRI) is …
Segmentation of magnetic resonance images of brain and abdomen
AS Parimal - 2010 - dr.ntu.edu.sg
Segmentation of MRI data is required for many applications, such as the comparison of
different structures or time points, and for annotation purposes. Manual segmentation …
different structures or time points, and for annotation purposes. Manual segmentation …
Computer techniques for the automatic segmentation of 3D MR brain images
The segmentation of magnetic resonance (MR) brain images is an important problem in
medical imaging. Accurate segmentation of MR brain images allows a detail study of 3D …
medical imaging. Accurate segmentation of MR brain images allows a detail study of 3D …
A new algorithm for image segmentation based on region growing and edge detection
X Yu, J Yla-Jaaski - 1991 IEEE International Symposium on …, 1991 - ieeexplore.ieee.org
A novel image segmentation technique is presented which combines region growing, edge
detection, and a novel edge preserving smoothing algorithm. The combined method helps to …
detection, and a novel edge preserving smoothing algorithm. The combined method helps to …
An integrated algorithm for MRI brain images segmentation
This paper presents an integrated algorithm for MRI (Magnetic Resonance Imaging) brain
tissues segmentation. The method is composed of four stages. Noise in the MRI images is …
tissues segmentation. The method is composed of four stages. Noise in the MRI images is …
New region growing segmentation technique for MR images with weak boundaries
(in English) In medical image processing, segmented images are used for studying
anatomical structures, diagnosis and assisting in surgical planning. Our goal is to segment …
anatomical structures, diagnosis and assisting in surgical planning. Our goal is to segment …
Segmentation of brain MRI
R Xu, L Luo, J Ohya - Advances in brain imaging, 2012 - books.google.com
Effective, precise and consistent brain cortical tissue segmentation from magnetic resonance
(MR) images is one of the most prominent issues in many applications of medical image …
(MR) images is one of the most prominent issues in many applications of medical image …
Problems and approaches for tissue segmentation in 3-D MR imaging
HH Ehricke - Medical Imaging IV: Image Processing, 1990 - spiedigitallibrary.org
The paper describes applications problems and approaches for image segmentation in
magnetic resonance imaging. The methods which are proposed work on 3D-datasets with …
magnetic resonance imaging. The methods which are proposed work on 3D-datasets with …
Segmentation of MR images using neural nets
DL Toulson, JF Boyce - Image and Vision Computing, 1992 - Elsevier
A two tier system for magnetic resonance (MR) image segmentation is proposed. The first
stage involves probabilistically classifying the pixels of the input image based on second …
stage involves probabilistically classifying the pixels of the input image based on second …
Performance analysis of image segmentation methods for noisy MRI images
R Boda, SK Yezerla, BR Naik - 2016 International Conference …, 2016 - ieeexplore.ieee.org
An accurate Image segmentation is very important in image processing. The main purpose
of the image segmentation is to partition the original image into uniform regions. Image …
of the image segmentation is to partition the original image into uniform regions. Image …