Brain image segmentation using a combination of expectation-maximization algorithm and watershed transform

2016 ◽  
Vol 26 (3) ◽  
pp. 225-232 ◽  
Author(s):  
Goo-Rak Kwon ◽  
Dibash Basukala ◽  
Sang-Woong Lee ◽  
Kun Ho Lee ◽  
Moonsoo Kang
Keyword(s):  
Image Segmentation ◽  
Expectation Maximization ◽  
Expectation Maximization Algorithm ◽  
Watershed Transform ◽  
Brain Image ◽  
Brain Image Segmentation

MR Brain Image Segmentation Using k-Means Clustering and Expectation Maximization

2019 ◽  
Vol 16 (8) ◽  
pp. 3637-3641
Author(s):  
S. Naganandhini ◽  
P. Shanmugavadivu ◽  
V. Sivakumar
Keyword(s):  
Image Segmentation ◽  
Expectation Maximization ◽  
Noise Removal ◽  
Magnetic Resonance Images ◽  
Brain Image ◽  
Switching Median Filter ◽  
Skull Stripping ◽  
Mr Brain ◽  
Brain Tissues ◽  
Brain Image Segmentation

Magnetic Resonance Images (MRI) for brain play an important role to identify the disease, dysfunction or disorder of human brain. These images are the primary source to study, analyse and diagnose the anatomy of the brain. This paper presents a new combinatorial technique titled, “MR Brain Image Segmentation using k-Means Clustering and Expectation Maximization (MRB-KMEM)” that performs skull stripping, impulse noise removal, segmentation of brain tissues and classification of brain images. The skull is removed using the technique of morphology-bound brain segmentation and Progressive Switching Median Filter (PSMF) is used to suppress brain image distortion. Further, brain tissues segmentation into white matter and grey matter is performed by KM-EM. The research outcomes can be used to study the features of a brain, its defects and to detect Alzheimer’s disease.

Distance metric-based time-efficient fuzzy algorithm for abnormal magnetic resonance brain image segmentation

2012 ◽  
Vol 22 (5) ◽  
pp. 1013-1022 ◽  
Author(s):  
D. Jude Hemanth ◽  
C. Kezi Selva Vijila ◽  
A. Immanuel Selvakumar ◽  
J. Anitha
Keyword(s):  
Image Segmentation ◽  
Magnetic Resonance ◽  
Distance Metric ◽  
Fuzzy Algorithm ◽  
Brain Image ◽  
Brain Image Segmentation

scholarly journals 3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image Segmentation

2019 ◽  
Vol 49 (3) ◽  
pp. 1123-1136 ◽  
Author(s):  
Dong Nie ◽  
Li Wang ◽  
Ehsan Adeli ◽  
Cuijin Lao ◽  
Weili Lin ◽  
...  
Keyword(s):  
Image Segmentation ◽  
Brain Image ◽  
Convolutional Networks ◽  
Fully Convolutional Networks ◽  
Infant Brain ◽  
Brain Image Segmentation
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