Malaya Kumar Nath

Orcid: 0000-0002-1959-6452

According to our database1, Malaya Kumar Nath authored at least 26 papers between 2009 and 2024.

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

Timeline

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Bibliography

2024
COVID-19Net: An Effective and Robust Approach for Covid-19 Detection Using Ensemble of ConvNet-24 and Customized Pre-trained Models.
Circuits Syst. Signal Process., April, 2024

Efficient Segmentation of Vessels and Disc Simultaneously Using Multi-channel Generative Adversarial Network.
SN Comput. Sci., March, 2024

2023
A systematic approach for enhancement of homogeneous background images using structural information.
Graph. Model., December, 2023

A strategic approach towards contrast enhancement by two-dimensional histogram equalization based on total variational decomposition.
Multim. Tools Appl., May, 2023

Retinal Vessel Segmentation Using Multi-Scale Residual Convolutional Neural Network (MSR-Net) Combined with Generative Adversarial Networks.
Circuits Syst. Signal Process., February, 2023

2022
Efficient blood vessel segmentation from color fundus image using deep neural network.
J. Intell. Fuzzy Syst., 2022

En-ConvNet: A novel approach for glaucoma detection from color fundus images using ensemble of deep convolutional neural networks.
Int. J. Imaging Syst. Technol., 2022

A novel multilevel framework based contrast enhancement for uniform and non-uniform background images using a suitable histogram equalization.
Digit. Signal Process., 2022

An EfficientNet-based modified sigmoid transform for enhancing dermatological macro-images of melanoma and nevi skin lesions.
Comput. Methods Programs Biomed., 2022

DTP-Net: A convolutional neural network model to predict threshold for localizing the lesions on dermatological macro-images.
Comput. Biol. Medicine, 2022

Contrast Enhancement Technique for Efficient Detection of Cloud from Remote Sensing Images.
Proceedings of the 13th International Symposium on Communication Systems, 2022

2021
A Review on Progress in Semantic Image Segmentation and Its Application to Medical Images.
SN Comput. Sci., 2021

A Novel Shallow ConvNet-18 for Malaria Parasite Detection in Thin Blood Smear Images.
SN Comput. Sci., 2021

Glaucoma assessment from color fundus images using convolutional neural network.
Int. J. Imaging Syst. Technol., 2021

A Novel Contrast Enhancement Technique using Gradient-Based Joint Histogram Equalization.
Circuits Syst. Signal Process., 2021

Novel Pre-processing Stage for Classification of CT Scan Covid-19 Images.
Proceedings of the 18th International Conference on Signal Processing and Multimedia Applications, 2021

Classification of Brain Tumor MR Images Using Transfer Learning and Machine Learning Models.
Proceedings of the Computer Vision and Image Processing - 6th International Conference, 2021

2020
Automatic detection of blood vessels and evaluation of retinal disorder from color fundus images.
J. Intell. Fuzzy Syst., 2020

Speech emotion recognition using cepstral features extracted with novel triangular filter banks based on bark and ERB frequency scales.
Digit. Signal Process., 2020

Digital Architecture for Instantaneous V/UV/S Classification of Noise Free Speech Segments.
Proceedings of the 2020 24th International Symposium on VLSI Design and Test (VDAT), 2020

2019
Recognition of Spoken Languages from Acoustic Speech Signals Using Fourier Parameters.
Circuits Syst. Signal Process., 2019

2016
Detection of Microaneurysms and Exudates from Color Fundus Images by using SBGFRLS Algorithm.
Proceedings of the International Conference on Informatics and Analytics, 2016

2013
Multiscale ICA for fundus image analysis.
Int. J. Imaging Syst. Technol., 2013

2012
Differential entropy in wavelet sub-band for assessment of glaucoma.
Int. J. Imaging Syst. Technol., 2012

2009
Processing of Low Level Signals in Mixed Signal Environment - A Hardware Design for Better Performance.
Proceedings of the NBiS 2009, 2009

Independent Component Analysis of Real Data.
Proceedings of the Seventh International Conference on Advances in Pattern Recognition, 2009


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