Bio-inspired computational algorithms for improved image steganalysis JA Christaline, R Ramesh, D Vaishali Indian J Sci Technol 9 (10), 1e10, 2016 | 19 | 2016 |
2 D autoregressive model for texture analysis and synthesis D Vaishali, R Ramesh, JA Christaline 2014 International Conference on Communication and Signal Processing, 1135-1139, 2014 | 16 | 2014 |
Critical review of image steganalysis techniques JA Christaline, R Ramesh, D Vaishali International Journal of Advanced Intelligence Paradigms 7 (3-4), 368-381, 2015 | 12 | 2015 |
Bio inspired optimization for universal spatial image steganalysis A Christaline, R Ramesh, C Gomathy, D Vaishali Journal of Computational Science 21, 182-188, 2017 | 11 | 2017 |
Image steganographic techniques with improved embedding capacity and robustness JA Christaline, D Vaishali 2011 International Conference on Recent Trends in Information Technology …, 2011 | 9 | 2011 |
Steganalysis with classifier combinations JA Christaline, R Ramesh, D Vaishali ARPN Journal of Engineering and Applied Sciences 9, 12, 2014 | 7 | 2014 |
Histopathology image analysis and classification for cancer detection using 2D autoregressive model D Vaishali, R Ramesh, JA Christaline Int. Rev. Comput. Softw 10 (2), 182-188, 2015 | 6 | 2015 |
Autoregressive modelling: application to mitosis detection in brain cancer histopathology D Vaishali, R Ramesh, JA Christaline International Journal of Biomedical Engineering and Technology 20 (2), 179-194, 2016 | 4 | 2016 |
Optimized JPEG steganalysis JA Christaline, R Ramesh, D Vaishali International Journal of Multimedia and Ubiquitous Engineering, SERSC 11 (1 …, 2016 | 4 | 2016 |
Different diagnostic aids and the improved scope of establishing early breast cancer diagnosis KVR Prabha, D Vaishali, PS Suhasini, K Subhashini, P Ramesh Micro-Electronics and Telecommunication Engineering: Proceedings of 4th …, 2021 | 2 | 2021 |
MEHW‐SVM multi‐kernel approach for improved brain tumour classification G Dheepak, J Anita Christaline, D Vaishali IET Image Processing 18 (4), 856-874, 2024 | 1 | 2024 |
Brain tumor classification: a novel approach integrating GLCM, LBP and composite features G Dheepak, D Vaishali Frontiers in Oncology 13, 1248452, 2024 | 1 | 2024 |
Smart surveillance system using emotion detection AS Edward, A Jothimani, V Akila AIP Conference Proceedings 2427 (1), 2023 | 1 | 2023 |
Higher order statistical analysis in multiresolution domain-application to breast cancer histopathology D Vaishali, PV Priya, N Govind, KVR Prabha International Conference on Service-Oriented Computing, 495-508, 2020 | 1 | 2020 |
Histopathology Image Analysis and Classification Using ARMA Models: Application to Brain Cancer Detection D Vaishali, R Ramesh, C Gomathy, J Anita Christaline Current Medical Imaging Reviews 13 (3), 355-361, 2017 | 1 | 2017 |
Performance evaluation of cancer diagnostics using autoregressive features with SVM classifier: applications to brain cancer histopathology D Vaishali, R Ramesh, JA Christaline International Journal of Multimedia and Ubiquitous Engineering 11 (6), 241-254, 2016 | 1 | 2016 |
2D Causal ARMA Model for Texture Analysis,Synthesis And Classification JAC D. Vaishali, Dr. R. Ramesh International Journal of Applied Engineering Research (IJAER) 9 (22), 16317 …, 2014 | 1* | 2014 |
Multi-Modal Finite Element Modelling for Enhanced Breast Cancer Detection using Electrical Impedance Tomography and Ultrasound Tomography G Annapoorani, R Vani, D Vaishali 2023 Second International Conference on Advances in Computational …, 2023 | | 2023 |
Optimizing Brain Tumour Classification: A Fusion Approach of PCA, SVM, and Image-Based Features G Dheepak, D Vaishali 2023 Global Conference on Information Technologies and Communications (GCITC …, 2023 | | 2023 |
ELBP: A Novel Approach for Feature Extraction and Stacking with GLCM in Advanced MRI Brain Tumor Classification G Dheepak, D Vaishali 2023 Second International Conference on Augmented Intelligence and …, 2023 | | 2023 |