| Cellular neural network based medical image segmentation using artificial bee colony algorithm M Duraisamy, FMM Jane 2014 International conference on green computing communication and …, 2014 | 18 | 2014 |
| CNN-based approach for segmentation of brain and lung MRI images M Duraisamy, S Duraisamy European Journal of Scientific Research 81 (3), 298-313, 2012 | 11 | 2012 |
| A study on CNN based hole-filler template design using single-term Haar wavelet series S Sekar, M Duraisamy International Journal of Logic Based Intelligent Systems 4 (1), 17-26, 2010 | 10 | 2010 |
| A review on global status of fresh and saline groundwater discharge into the ocean S Sekar, M Perumal, PD Roy, M Ganapathy, V Senapathi, S Yong Chung, ... Environmental Monitoring and Assessment 194 (12), 915, 2022 | 9 | 2022 |
| Multiple Share Creation Scheme with Optimal Key Generation for Secure Medical Image Transmission in Internet of Things Environment SPB M. Duraisamy International Journal of Electronic Healthcare, 2021 | 6 | 2021 |
| Deep Convolution Neural Network with Gradient Boosting Tree for COVID-19 Diagnosis and Classification Model SP Balamurugan, M Duraisamy European Journal of Molecular & Clinical Medicine 7 (11), 2020, 2020 | 4 | 2020 |
| An exploration of sturdiness of ant colony optimization technique on brain tumor image segmentation T Logeswari, M Duraisamy Int. J. Appl. Eng. Res 10 (2), 4329-4342, 2015 | 3 | 2015 |
| A technique for tumor region identification using cellular neural network M Duraisamy, S Duraisamy, ELA NOUREDDINE, R ELLAIA, K LEFROUNI, ... Journal of Theoretical and Applied Information Technology 55 (1), 1-13, 2013 | 3 | 2013 |
| A Novel Algorithm for Detection of Lesions in Digitized Mammograms using Fuzzy C–Means Bootstrap with Convolutional Neural Networks W Jaisingh, M Duraisamy International Journal of Pure and Applied Mathematics, 2585-2590, 2018 | 2 | 2018 |
| “Brain Tumor Image Segmentation Using Ant Colony Optimization Technique” TL M. Duraisamy Emerging Trends in Engineering Research and Technology 9, CHAPTER 15, 2020 | | 2020 |
| “Deducting of Prickle Noise from Satellite Galaxy Images WJS M Duraisamy Emerging Trends in Engineering Research and Technology 8, 2020 | | 2020 |
| A Computational Model for Deducting of Prickle Noise From Satellite Galaxy Images WJ M Duraisamy International Journal of Engineering and Advanced Technology (IJEAT) 8 …, 2019 | | 2019 |
| A Fusion Approach to Eliminate Speckle Noise from Digital Images Using IVSA Algorithm D M Journal of Emerging Technologies and innovative Research 5 (8), 2018 | | 2018 |
| A Novel Approach for Removal of Spike Noise from Satellite Milky Way Images M Duraisamy, P Narasimman International Journal of Computational Intelligence Research 13 (2), 243-251, 2017 | | 2017 |
| A pixel intensity variance distribution (pivd) technique for refurbishment of digital images M Duraisamy, P Narasimman Mathematical Sciences International Research Journal 5 (2), 42-46, 2016 | | 2016 |
| A Template Design Mechanism For CNN Segmentation To Identify Cancer Region On Medical Images TL M Duraisamy International Journal of Applied Environmental Sciences 10 (5), 1615-1632, 2015 | | 2015 |
| A NOVEL APPROACH FOR REMOVAL OF SPIKE NOISE FROM SATELLITE MILKYWAY IMAGES SP Balamurugan, M Duraisamy | | |
| A Computational Model for Deducting of Prickle Noise From Satellite Galaxy Images WJ Singh, M Duraisamy | | |
Dr. S DuraisamyAsst.Prof/Computer ScienceVerified email at cgac.in
