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 | 182 | 2016 |
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 | 62 | 2017 |
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 | 35 | 2019 |
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 | 27 | 2018 |
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 | 14 | 2017 |
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 | 8 | 2016 |
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 |