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ORCIDD. Selvathi 0001
Person information
- affiliation: Mepco Schlenk Engineering College, Sivakasi, India
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2020 – today
- 2022
[j24]D. Selvathi, R. Chandralekha:
Fetal biometric based abnormality detection during prenatal development using deep learning techniques. Multidimens. Syst. Signal Process. 33(1): 1-15 (2022)- [j23]S. Thayammal
, R. Jayaraghavi, S. Priyadarsini, D. Selvathi:
Analysis of Water Body Segmentation from Landsat Imagery using Deep Neural Network. Wirel. Pers. Commun. 123(2): 1265-1282 (2022) - 2021
- [j22]C. John Moses, D. Selvathi:
Adaptive edge-based bi-cubic image interpolation. Int. J. Reason. based Intell. Syst. 13(2): 101-105 (2021) - [j21]D. Selvathi, K. Suganya, M. Menaka, B. Venkatraman:
Deep convolutional neural network-based diabetic eye disease detection and classification using thermal images. Int. J. Reason. based Intell. Syst. 13(2): 106-114 (2021) - 2020
- [j20]S. Thayammal, S. Priyadarsini, D. Selvathi:
Edge preserved multispectral image compression using PCA and hybrid transform. Multim. Tools Appl. 79(27-28): 20133-20148 (2020)
2010 – 2019
- 2018
- [j19]N. Herald Anantha Rufus, D. Selvathi:
Performance analysis of brain tissues and tumor detection and grading system using ANFIS classifier. Int. J. Imaging Syst. Technol. 28(2): 77-85 (2018) - 2017
- [j18]S. Thayammal, D. Selvathi:
Edge Preserved Multispectral Image Compression Using Extended Shearlet Transform. Comput. J. 60(7): 986-994 (2017) - [j17]N. Herald Anantha Rufus, D. Selvathi:
Performance analysis of computer aided brain tumor detection system using ANFIS classifier. Int. J. Imaging Syst. Technol. 27(3): 273-280 (2017) - [j16]D. Selvathi, S. Bama:
Phase based distance regularized level set for the segmentation of ultrasound kidney images. Pattern Recognit. Lett. 86: 9-17 (2017) - [c3]D. Selvathi, Henry Selvaraj:
FPGA Implementation for Epileptic Seizure Detection Using Amplitude and Frequency Analysis of EEG Signals. ICSEng 2017: 183-192 - 2016
- [j15]D. Selvathi, T. Emala:
MRI brain pattern analysis for detection of Alzheimer's disease using random forest classifier. Intell. Decis. Technol. 10(4): 331-340 (2016) - [j14]D. Selvathi, R. Deiva Nayagam:
FPGA implementation of on-chip ANN for breast cancer diagnosis. Intell. Decis. Technol. 10(4): 341-352 (2016) - 2015
- [j13]D. Selvathi, Henry Selvaraj, J. Dharani:
FPGA Implementation of Fuzzy Inference System Based Edge Detection Algorithm. Int. J. Comput. Intell. Appl. 14(2): 1550009:1-1550009:21 (2015) - [j12]D. Selvathi, M. S. Steffi:
Multifractal feature-based abnormal tissues segmentation in brain MRI using modified adaboost classifier. Int. J. Medical Eng. Informatics 7(4): 406-414 (2015) - [j11]S. Thayammal, D. Selvathi:
Edge Preserved Image Compression using Extended Shearlet transform. J. Comput. Sci. 11(1): 82-88 (2015) - [j10]S. Manjula, D. Selvathi:
Optimal Design of Low Power CMOS Power Amplifier Using Particle Swarm Optimization Technique. Wirel. Pers. Commun. 82(4): 2275-2289 (2015) - 2014
- [j9]S. Manjula, D. Selvathi:
Study of Parasitic capacitance effect on noise Figure of Idclna in Deep submicron CMOS Technologies. J. Circuits Syst. Comput. 23(5) (2014) - [j8]S. Bama, D. Selvathi:
Despeckling of medical ultrasound kidney images in the curvelet domain using diffusion filtering and MAP estimation. Signal Process. 103: 230-241 (2014) - [j7]C. John Moses, D. Selvathi, V. M. Anne Sophia:
VLSI Architectures for Image Interpolation: A Survey. VLSI Design 2014: 872501:1-872501:10 (2014) - [c2]D. Selvathi, C. John Moses:
An Area Efficient Weighting Coefficient Generation Architecture for Polynomial Convolution Interpolation. ICSEng 2014: 495-500 - 2013
- [j6]S. Manjula, D. Selvathi:
Design of Low Power 2.4GHz CMOS Cascode LNA with Reduced Noise Figure for WSN Applications. Wirel. Pers. Commun. 70(4): 1965-1976 (2013) - 2011
- [c1]C. L. Biji, D. Selvathi, Asha Panicker:
Tumor Detection in Brain Magnetic Resonance Images Using Modified Thresholding Techniques. ACC (4) 2011: 300-308 - 2010
- [j5]D. Selvathi, Henry Selvaraj, S. Thamarai Selvi:
Hybrid Approach for Brain Tumor Segmentation in Magnetic Resonance Images Using Cellular Neural Networks and Optimization Techniques. Int. J. Comput. Intell. Appl. 9(1): 17-31 (2010) - [j4]D. Jude Hemanth, D. Selvathi, J. Anitha:
Application of Adaptive Resonance Theory Neural Network for MR Brain Tumor Image Classification. Int. J. Heal. Inf. Syst. Informatics 5(1): 61-75 (2010) - [j3]D. Selvathi, S. Thamarai Selvi, C. Loorthu Sahaya Malar:
The SURE-LET Approach for MR Brain Image Denoising Using Different Shrinkage Rules. Int. J. Heal. Inf. Syst. Informatics 5(2): 73-81 (2010)
2000 – 2009
- 2006
- [j2]D. Selvathi, S. Thamarai Selvi, Henry Selvaraj:
Abnormality Detection in Brain MR Images Using Minimum Error Thresholding Method. Int. J. Comput. Intell. Appl. 6(2): 177-191 (2006) - [j1]Henry Selvaraj, S. Thamarai Selvi, D. Selvathi, R. Ramkumar:
Support Vector Machine Based Automatic Classification of Human Brain Using MR Image Features. Int. J. Comput. Intell. Appl. 6(3): 357-370 (2006)
Coauthor Index
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