Computer‐aided mammogram diagnosis system using deep learning convolutional fully complex‐valued relaxation neural network classifier S Duraisamy, S Emperumal IET Computer Vision 11 (8), 656-662, 2017 | 88 | 2017 |
Automation of hydroponics green house farming using IoT D Saraswathi, P Manibharathy, R Gokulnath, E Sureshkumar, ... 2018 IEEE international conference on system, computation, automation and …, 2018 | 84 | 2018 |
An ensemble approach to diagnose breast cancer using fully complex-valued relaxation neural network classifier D Saraswathi, E Srinivasan International Journal of Biomedical Engineering and Technology 15 (3), 243-260, 2014 | 17 | 2014 |
Performance analysis of mammogram CAD system using SVM and KNN classifier D Saraswathi, E Srinivasan 2017 International Conference on Inventive Systems and Control (ICISC), 1-5, 2017 | 16 | 2017 |
A CAD system to analyse mammogram images using fully complex-valued relaxation neural network ensembled classifier. D Saraswathi, E Srinivasan Journal of medical engineering & technology 38 (7), 359-366, 2014 | 16 | 2014 |
Brain tumor segmentation and classification using self organizing map D Saraswathi, BL Priya, RP Lakshmi 2019 IEEE international conference on system, computation, automation and …, 2019 | 12 | 2019 |
An efficient feature extraction technique for breast cancer diagnosis using curvelet transform and swarm intelligence D Saraswathi, D Dharani, E Srinivasan 2016 International Conference on Wireless Communications, Signal Processing …, 2016 | 12 | 2016 |
Scattering convolutional network based predictive model for cognitive activity of brain using empirical wavelet decomposition S Jayalakshmy, JK Pragatheeswaran, D Saraswathi, N Poonguzhali Biomedical Signal Processing and Control 66, 102501, 2021 | 11 | 2021 |
An automated diagnosis system using wavelet based SFTA texture features D Saraswathi, G Sharmila, E Srinivasan International Conference on Information Communication and Embedded Systems …, 2014 | 11 | 2014 |
A high-sensitivity computer-aided system for detecting microcalcifications in digital mammograms using curvelet fractal texture features DES Dr.D.Saraswathi Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2017 | 10 | 2017 |
Mammogram analysis using league championship algorithm optimized ensembled FCRN classifier D Saraswathi, E Srinivasan Indones J Electr Eng Comput Sci 5 (2), 451-461, 2017 | 7 | 2017 |
A Survey on content based medical image retrieval for MRI brain images G Sharmila, D Saraswathi, R Ramkumar International Journal of Research in Engineering and Technology 3 (19), 149-154, 2014 | 7 | 2014 |
Lung image segmentation using k-means clustering algorithm with novel distance metric D Saraswathi, LMI Sheela International Journal of Recent Trends in Engineering & Research 2 (12), 236-245, 2016 | 4 | 2016 |
Optimized convolutional neural network based colour image fusion B Lakshmipriya, N Pavithra, D Saraswathi 2020 International Conference on System, Computation, Automation and …, 2020 | 3 | 2020 |
An Efficient Level Set Mammographic Image Segmentation using Fuzzy C Means Clustering D Saraswathi, E Srinivasan, P Ranjitha Asian J. Appl. Sci. Technol 1, 7-11, 2017 | 3 | 2017 |
Liver segmentation using weighted contrast based chan-vese method BL Priya, D Saraswathi, RP Lakshmi 2019 IEEE International Conference on System, Computation, Automation and …, 2019 | 2 | 2019 |
Embedding a Robust, Secure and Invisible Watermark for Copyright Protection-Transmitter S Vijayananth, P Sudhakar, D Saraswathi, SU Maheswari, P Vineeth, ... Solid State Technology 63 (3), 1319-1328, 2020 | 1 | 2020 |
Extreme learning machine for cancer classification in mammograms based on fractal and glcm features D Saraswathi, E Srinivasan, P Ranjitha Asian J. Appl. Sci. Technol.(AJAST) 1 (4), 1-6, 2017 | 1 | 2017 |
Segmentation of Text from Degraded Document Images by Local Threshold Method D Dharani, D Saraswathi International Journal of Science and Research (IJSR), 2319-7064, 2017 | 1 | 2017 |
Detection of Microcalcifications in Digital Mammograms using Fuzzy Euler Graph Segmentation method D Saraswathi, E Srinivasan International Journal of Computer Science and Information Security 14 (8 …, 2016 | 1 | 2016 |