A picture fuzzy clustering approach for brain tumor segmentation

2016 Second International Conference on Cognitive Computing and Information Processing (CCIP) ◽

10.1109/ccip.2016.7802852 ◽

2016 ◽

Cited By ~ 8

Author(s):

S V Aruna Kumar ◽

B S Harish ◽

V N Manjunath Aradhya

Keyword(s):

Brain Tumor ◽

Fuzzy Clustering ◽

Tumor Segmentation ◽

Brain Tumor Segmentation ◽

Clustering Approach

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Significant LOOP with clustering approach and optimization enabled deep learning classifier for the brain tumor segmentation and classification

Multimedia Tools and Applications ◽

10.1007/s11042-021-11591-8 ◽

2021 ◽

Author(s):

T. A. Jemimma ◽

Y. Jacob Vetha Raj

Keyword(s):

Deep Learning ◽

Brain Tumor ◽

Tumor Segmentation ◽

Brain Tumor Segmentation ◽

Learning Classifier ◽

Clustering Approach ◽

The Brain

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Performance analysis of unsupervised optimal fuzzy clustering algorithm for MRI brain tumor segmentation

Technology and Health Care ◽

10.3233/thc-140876 ◽

2014 ◽

Vol 23 (1) ◽

pp. 23-35

Author(s):

S.A. Praylin Selva Blessy ◽

C. Helen Sulochana

Keyword(s):

Brain Tumor ◽

Performance Analysis ◽

Fuzzy Clustering ◽

Clustering Algorithm ◽

Tumor Segmentation ◽

Brain Tumor Segmentation ◽

Mri Brain ◽

Fuzzy Clustering Algorithm

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Brain Tumor Segmentation using Genetic Algorithm and FCM Clustering Approach

International Journal of Computer Applications ◽

10.5120/7601-0331 ◽

2012 ◽

Vol 49 (2) ◽

pp. 24-27 ◽

Cited By ~ 1

Author(s):

Garima Garg ◽

Sonia Juneja

Keyword(s):

Genetic Algorithm ◽

Brain Tumor ◽

Tumor Segmentation ◽

Brain Tumor Segmentation ◽

Fcm Clustering ◽

Clustering Approach

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Fast level set method for glioma brain tumor segmentation based on Superpixel fuzzy clustering and lattice Boltzmann method

Computer Methods and Programs in Biomedicine ◽

10.1016/j.cmpb.2020.105809 ◽

2021 ◽

Vol 198 ◽

pp. 105809

Author(s):

Asieh Khosravanian ◽

Mohammad Rahmanimanesh ◽

Parviz Keshavarzi ◽

Saeed Mozaffari

Keyword(s):

Brain Tumor ◽

Lattice Boltzmann Method ◽

Level Set Method ◽

Level Set ◽

Fuzzy Clustering ◽

Lattice Boltzmann ◽

Tumor Segmentation ◽

Brain Tumor Segmentation ◽

Boltzmann Method

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Brain Tumor Segmentation using Multiobjective Fuzzy Clustering

Transactions on Machine Learning and Artificial Intelligence ◽

10.14738/tmlai.41.1840 ◽

2016 ◽

Vol 4 (1) ◽

Author(s):

Olfa Mohamed Limam

Keyword(s):

Brain Tumor ◽

Fuzzy Clustering ◽

Tumor Segmentation ◽

Brain Tumor Segmentation

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Brain Tumor Segmentation Based on Non Negative Matrix Factorization and Fuzzy Clustering

Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies ◽

10.5220/0006250701340139 ◽

2017 ◽

Cited By ~ 1

Author(s):

Ujjwal Baid ◽

Shubham Talbar ◽

Sanjay Talbar

Keyword(s):

Brain Tumor ◽

Fuzzy Clustering ◽

Matrix Factorization ◽

Tumor Segmentation ◽

Brain Tumor Segmentation ◽

Non Negative Matrix Factorization

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Brain Tumor Segmentation on MRI Brain Images with Fuzzy Clustering and GVF Snake Model

International Journal of Computers Communications & Control ◽

10.15837/ijccc.2012.3.1393 ◽

2014 ◽

Vol 7 (3) ◽

pp. 530 ◽

Cited By ~ 6

Author(s):

Arthanari Rajendran ◽

Raghavan Dhanasekaran

Keyword(s):

Brain Tumor ◽

Fuzzy Clustering ◽

Tumor Segmentation ◽

Brain Tumor Segmentation ◽

Brain Images ◽

Snake Model ◽

Mri Brain ◽

Mri Brain Images

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Automatic glioma characterization from dynamic susceptibility contrast imaging: Brain tumor segmentation using knowledge-based fuzzy clustering

Journal of Magnetic Resonance Imaging ◽

10.1002/jmri.21815 ◽

2009 ◽

Vol 30 (1) ◽

pp. 1-10 ◽

Cited By ~ 46

Author(s):

Kyrre E. Emblem ◽

Baard Nedregaard ◽

John K. Hald ◽

Terje Nome ◽

Paulina Due-Tonnessen ◽

...

Keyword(s):

Brain Tumor ◽

Fuzzy Clustering ◽

Tumor Segmentation ◽

Dynamic Susceptibility ◽

Dynamic Susceptibility Contrast ◽

Contrast Imaging ◽

Brain Tumor Segmentation ◽

Knowledge Based ◽

Dynamic Susceptibility Contrast Imaging ◽

Susceptibility Contrast

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Bayesian HCS-based multi-SVNN: A classification approach for brain tumor segmentation and classification using Bayesian fuzzy clustering

Journal of Applied Biomedicine ◽

10.1016/j.bbe.2018.05.001 ◽

2018 ◽

Vol 38 (3) ◽

pp. 646-660 ◽

Cited By ~ 17

Author(s):

A. Ratna Raju ◽

P. Suresh ◽

R. Rajeswara Rao

Keyword(s):

Brain Tumor ◽

Fuzzy Clustering ◽

Tumor Segmentation ◽

Brain Tumor Segmentation ◽

Classification Approach ◽

Bayesian Fuzzy Clustering

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Brain Tumor Segmentation Using clustering Approach

2019 Innovations in Power and Advanced Computing Technologies (i-PACT) ◽

10.1109/i-pact44901.2019.8959996 ◽

2019 ◽

Cited By ~ 1

Author(s):

Himani Parmar ◽

Bijal Talati

Keyword(s):

Brain Tumor ◽

Tumor Segmentation ◽

Brain Tumor Segmentation ◽

Clustering Approach

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