D. Selvathi

Orcid: 0000-0003-1159-3879

Affiliations:
  • Mepco Schlenk Engineering College, Sivakasi, India


According to our database1, D. Selvathi authored at least 28 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
A systematic review of deep learning methods for the classification and segmentation of prostate cancer on magnetic resonance images.
Int. J. Imaging Syst. Technol., 2024

2022
Analysis of Water Body Segmentation from Landsat Imagery using Deep Neural Network.
Wirel. Pers. Commun., 2022

Fetal biometric based abnormality detection during prenatal development using deep learning techniques.
Multidimens. Syst. Signal Process., 2022

2021
Deep convolutional neural network-based diabetic eye disease detection and classification using thermal images.
Int. J. Reason. based Intell. Syst., 2021

Adaptive edge-based bi-cubic image interpolation.
Int. J. Reason. based Intell. Syst., 2021

2020
Edge preserved multispectral image compression using PCA and hybrid transform.
Multim. Tools Appl., 2020

2018
Performance analysis of brain tissues and tumor detection and grading system using ANFIS classifier.
Int. J. Imaging Syst. Technol., 2018

2017
Phase based distance regularized level set for the segmentation of ultrasound kidney images.
Pattern Recognit. Lett., 2017

Performance analysis of computer aided brain tumor detection system using ANFIS classifier.
Int. J. Imaging Syst. Technol., 2017

Edge Preserved Multispectral Image Compression Using Extended Shearlet Transform.
Comput. J., 2017

FPGA Implementation for Epileptic Seizure Detection Using Amplitude and Frequency Analysis of EEG Signals.
Proceedings of the 25th International Conference on Systems Engineering, 2017

2016
FPGA implementation of on-chip ANN for breast cancer diagnosis.
Intell. Decis. Technol., 2016

MRI brain pattern analysis for detection of Alzheimer's disease using random forest classifier.
Intell. Decis. Technol., 2016

2015
Optimal Design of Low Power CMOS Power Amplifier Using Particle Swarm Optimization Technique.
Wirel. Pers. Commun., 2015

Edge Preserved Image Compression using Extended Shearlet transform.
J. Comput. Sci., 2015

Multifractal feature-based abnormal tissues segmentation in brain MRI using modified adaboost classifier.
Int. J. Medical Eng. Informatics, 2015

FPGA Implementation of Fuzzy Inference System Based Edge Detection Algorithm.
Int. J. Comput. Intell. Appl., 2015

2014
VLSI Architectures for Image Interpolation: A Survey.
VLSI Design, 2014

Despeckling of medical ultrasound kidney images in the curvelet domain using diffusion filtering and MAP estimation.
Signal Process., 2014

Study of Parasitic capacitance effect on noise Figure of Idclna in Deep submicron CMOS Technologies.
J. Circuits Syst. Comput., 2014

An Area Efficient Weighting Coefficient Generation Architecture for Polynomial Convolution Interpolation.
Proceedings of the Progress in Systems Engineering, 2014

2013
Design of Low Power 2.4GHz CMOS Cascode LNA with Reduced Noise Figure for WSN Applications.
Wirel. Pers. Commun., 2013

2011
Tumor Detection in Brain Magnetic Resonance Images Using Modified Thresholding Techniques.
Proceedings of the Advances in Computing and Communications, 2011

2010
The SURE-LET Approach for MR Brain Image Denoising Using Different Shrinkage Rules.
Int. J. Heal. Inf. Syst. Informatics, 2010

Application of Adaptive Resonance Theory Neural Network for MR Brain Tumor Image Classification.
Int. J. Heal. Inf. Syst. Informatics, 2010

Hybrid Approach for Brain Tumor Segmentation in Magnetic Resonance Images Using Cellular Neural Networks and Optimization Techniques.
Int. J. Comput. Intell. Appl., 2010

2006
Abnormality Detection in Brain MR Images Using Minimum Error Thresholding Method.
Int. J. Comput. Intell. Appl., 2006

Support Vector Machine Based Automatic Classification of Human Brain Using MR Image Features.
Int. J. Comput. Intell. Appl., 2006


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