Enhanced Possibilistic Fuzzy C-Means Algorithm for Normal and Pathological Brain Tissue Segmentation on Magnetic Resonance Brain Image

Fuzzy C Means Algorithm

Invasive weed optimization and Kernel Fuzzy C-Means Based MRI brain tissue segmentation

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v6i11.4350 ◽

2018 ◽

Vol 6 (11) ◽

pp. 43-50

Author(s):

K. Venkatesh Sharma

Keyword(s):

Brain Tissue ◽

Invasive Weed Optimization ◽

Tissue Segmentation ◽

Invasive Weed ◽

Fuzzy C Means ◽

Mri Brain ◽

BISON: Brain tissue segmentation pipeline using T 1 ‐weighted magnetic resonance images and a random forest classifier

Magnetic Resonance in Medicine ◽

10.1002/mrm.28547 ◽

2020 ◽

Vol 85 (4) ◽

pp. 1881-1894 ◽

Cited By ~ 1

Author(s):

Mahsa Dadar ◽

D. Louis Collins

Keyword(s):

Magnetic Resonance ◽

Random Forest ◽

Brain Tissue ◽

Magnetic Resonance Images ◽

Random Forest Classifier ◽

Tissue Segmentation ◽

Automated MRI brain tissue segmentation based on mean shift and fuzzy c -means using a priori tissue probability maps

IRBM ◽

10.1016/j.irbm.2015.01.007 ◽

2015 ◽

Vol 36 (3) ◽

pp. 185-196 ◽

Cited By ~ 17

Author(s):

Q. Mahmood ◽

A. Chodorowski ◽

M. Persson

Keyword(s):

Brain Tissue ◽

A Priori ◽

Mean Shift ◽

Tissue Segmentation ◽

Fuzzy C Means ◽

Mri Brain ◽

Probability Maps

A hybrid framework for brain tissue segmentation in magnetic resonance images

International Journal of Imaging Systems and Technology ◽

10.1002/ima.22637 ◽

2021 ◽

Author(s):

Chao Li ◽

Jun Sun ◽

Li Liu ◽

Vasile Palade

Keyword(s):

Magnetic Resonance ◽

Brain Tissue ◽

Magnetic Resonance Images ◽

Tissue Segmentation ◽

Hybrid Framework

Magnetic resonance brain tissue segmentation based on sparse representations

10.1117/12.2207923 ◽

2015 ◽

Author(s):

Andrea Rueda

Keyword(s):

Magnetic Resonance ◽

Brain Tissue ◽

Sparse Representations ◽

Tissue Segmentation ◽

An automatic self‐initialized clustering method for brain tissue segmentation and pathology detection from magnetic resonance human head scans with graphics processing unit machine

Concurrency and Computation Practice and Experience ◽

10.1002/cpe.6084 ◽

2020 ◽

Author(s):

Kalaiselvi Thiruvenkadam ◽

Kalaichelvi Nagarajan ◽

Sriramakrishnan Padmanaban

Keyword(s):

Magnetic Resonance ◽

Brain Tissue ◽

Graphics Processing Unit ◽

Human Head ◽

Processing Unit ◽

Clustering Method ◽

Tissue Segmentation ◽

Graphics Processing

Histogram Based Multimodal Minimum Cross Entropy Thresholding Method for Magnetic Resonance Brain Tissue Segmentation

Journal of Computational and Theoretical Nanoscience ◽

10.1166/jctn.2018.7484 ◽

2018 ◽

Vol 15 (6) ◽

pp. 2430-2436

Author(s):

T Priya ◽

P Kalavathi

Keyword(s):

Magnetic Resonance ◽

Brain Tissue ◽

Cross Entropy ◽

Tissue Segmentation ◽

Thresholding Method ◽

Minimum Cross Entropy

Fuzzy c-means technique with histogram based centroid initialization for brain tissue segmentation in MRI of head scans

2011 International Symposium on Humanities, Science and Engineering Research ◽

10.1109/shuser.2011.6008489 ◽

2011 ◽

Cited By ~ 9

Author(s):

T. Kalaiselvi ◽

K. Somasundaram

Keyword(s):

Brain Tissue ◽

Tissue Segmentation ◽

Fuzzy C Means ◽

A rapid knowledge‐based partial supervision fuzzy c‐means for brain tissue segmentation with CUDA‐enabled GPU machine

International Journal of Imaging Systems and Technology ◽

10.1002/ima.22335 ◽

2019 ◽

Vol 29 (4) ◽

pp. 547-560 ◽

Cited By ~ 3

Author(s):

Padmanaban Sriramakrishnan ◽

Thiruvenkadam Kalaiselvi ◽

Karuppanagounder Somasundaram ◽

Rangasami Rajeswaran

Keyword(s):

Brain Tissue ◽

Tissue Segmentation ◽

Fuzzy C Means ◽

Knowledge Based ◽

Partial Supervision

Brain tissue segmentation using improved kernelized rough-fuzzy C-means with spatio-contextual information from MRI

Magnetic Resonance Imaging ◽

10.1016/j.mri.2019.06.010 ◽

2019 ◽

Vol 62 ◽

pp. 129-151 ◽

Cited By ~ 5

Author(s):

Anindya Halder ◽

Nur Alom Talukdar

Keyword(s):

Brain Tissue ◽

Contextual Information ◽

Tissue Segmentation ◽

Fuzzy C Means ◽