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An unsupervised learning method with a clustering approach for tumor identification and tissue segmentation in magnetic resonance brain images
G Vishnuvarthanan, MP Rajasekaran, P Subbaraj, V Anitha
Applied Soft Computing 38, 190-212, 2016
1822016
An automated hybrid approach using clustering and nature inspired optimization technique for improved tumor and tissue segmentation in magnetic resonance brain images
V Anitha, MP Rajasekaran, G Vishnuvarthanan, Y Zhang, T Arunprasath
Applied Soft Computing 57, 399-426, 2017
622017
Multi-channeled MR brain image segmentation: A novel double optimization approach combined with clustering technique for tumor identification and tissue segmentation
N Anitha, MP Rajasekaran, Y Zhang, G Vishnuvarthanan, T Arunprasath
Biocybernetics and Biomedical Engineering 39 (2), 350-381, 2019
352019
Development of a combinational framework to concurrently perform tissue segmentation and tumor identification in T1-W, T2-W, FLAIR and MPR type magnetic resonance brain images
V Anitha, MP Rajasekaran, G Vishnuvarthanan, Y Zhang, T Arunprasath
Expert Systems with Applications 95, 280-311, 2018
272018
Tumor detection in T1, T2, FLAIR and MPR brain images using a combination of optimization and fuzzy clustering improved by seed‐based region growing algorithm
G Vishnuvarthanan, MP Rajasekaran, N Anitha, T Arunprasath, M Kannan
International Journal of Imaging Systems and Technology 27 (1), 33-45, 2017
142017
Short notes on unsupervised learning method with clustering approach for tumor identification and tissue segmentation in magnetic resonance brain images
G Vishnuvarthanan, V Anitha, T Arunprasath, M Kannan, MP Rajasekaran
J Clin Exp Neuroimmunol 1 (101), 2, 2016
82016
Amalgamation of Clustering and Meta-heuristic Optimization Techniques for Automated MR Brain Analysis
N Senthilkumar, G Vishnuvarthanan, B Kannapiran, ...
International Journal of Innovative Technology and Exploring Engineering 9 …, 2019
2*2019
Examining the Pathological Portions in MR Brain Slices using Automated Map and Improved Fuzzy K-Means Clustering
S Vigneshwaran, G Vishnuvarthanan, N Anitha, ...
International Journal of Innovative Technology and Exploring Engineering 9 …, 2019
2019
An automated map process based improved fuzzy c-means algorithm for pathological detection in MR image
S Vigneshwaran, G Vishnuvarthanan, N Anitha, ...
International Journal of Innovative Technology and Exploring Engineering 9 …, 2019
2019
Parameterization of BFO Algorithm for the Improved Functionality of MFKM Technique for Better Pathological Identification in Brain MR Image
N Anitha, Y Zhang, MP Rajasekaran, G Vishnuvarthanan, ...
International Journal of Innovative Technology and Exploring Engineering 9 …, 2019
2019
Heterogeneous Tumor Detection and Tissue Segmentation in Magnetic Resonance Brain Images Using Clustering and Optimization Techniques
N Anitha
Virudhunagar, 2019
2019
Magnetic Resonance Brain Image Segmentation: A Survey
V Anitha, MP Rajasekaran, G Vishnuvarthanan, T Arunprasath
IEEE sponsored International Conference on Engineering and Technology (ICET …, 2016
2016
A Complete Automated Algorithm with A Fusion of Optimization and Clustering Techniques for Tumor Identification in Multimodal MR Brain Images
N Anitha, G Vishnuvarthanan, MP Rajasekeran, T Arunprasath
International Journal of Applied Engineering Research, ISSN 0973-4562 10 (55 …, 2015
2015
A Fully Automated Algorithm with a Combination of Optimization and Clustering Techniques for Tumor Identification in Magnetic Resonance Brain Images
P Venkatakrishnan, N Anitha, G Vishnuvarthanan, S Sangeetha
National Conference on Frontiers in Applied Sciences and Computer Technology …, 2015
2015
An efficient FCM algorithm for tumor segmentation and identification in MR brain images
V Anitha, G Vishnuvarthanan, MP Rajasekaran
2nd International Conference on Design and Applications of Structures …, 2013
2013
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Artiklar 1–15