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Malaya Kumar Nath
Malaya Kumar Nath
Other namesMalaya Nath, M. K. Nath
Assistant Professor, Department of ECE, National Institute of Technology Puducherry, Karaikal-609609
Verified email at nitpy.ac.in - Homepage
Title
Cited by
Cited by
Year
Glaucoma assessment from color fundus images using convolutional neural network
P Elangovan, MK Nath
International Journal of Imaging Systems and Technology 31 (2), 955-971, 2021
772021
A comprehensive survey on image contrast enhancement techniques in spatial domain
D Vijayalakshmi, MK Nath, OP Acharya
Sensing and Imaging 21 (1), 40, 2020
662020
Hybrid convolutional neural networks with SVM classifier for classification of skin cancer
D Keerthana, V Venugopal, MK Nath, M Mishra
Biomedical Engineering Advances 5, 100069, 2023
612023
Speech emotion recognition using cepstral features extracted with novel triangular filter banks based on bark and ERB frequency scales
S Nagarajan, SSS Nettimi, LS Kumar, MK Nath, A Kanhe
Digital Signal Processing 104, 102763, 2020
472020
Image processing techniques for glaucoma detection
M Madhusudhan, N Malay, SR Nirmala, D Samerendra
Advances in Computing and Communications: First International Conference …, 2011
432011
Techniques of glaucoma detection from color fundus images: A review
MK Nath, S Dandapat
IJ Image, Graphics and Signal Processing 4 (9), 44-51, 2012
422012
Glaucoma detection from color fundus images
M Mishra, MK Nath, S Dandapat
International Journal of Computer & Communication Technology (IJCCT) 2 (6), 7-10, 2011
382011
Retinal vessel segmentation using multi-scale residual convolutional neural network (MSR-Net) combined with generative adversarial networks
MK Kar, DR Neog, MK Nath
Circuits, Systems, and Signal Processing 42 (2), 1206-1235, 2023
342023
Performance Comparison of Different Cepstral Features for Speech Emotion Recognition
N Sugan, NSS Srinivas, N Kar, LS Kumar, MK Nath, A Kanhe
2018 International CET Conference on Control, Communication, and Computing …, 2018
342018
A technical review report on deep learning approach for skin cancer detection and segmentation
K Duggani, MK Nath
Data Analytics and Management: Proceedings of ICDAM, 87-99, 2021
332021
A novel contrast enhancement technique using gradient-based joint histogram equalization
D Vijayalakshmi, MK Nath
Circuits, Systems, and Signal Processing 40 (8), 3929-3967, 2021
322021
Differential entropy in wavelet sub‐band for assessment of glaucoma
MK Nath, S Dandapat
International Journal of Imaging Systems and Technology 22 (3), 161-165, 2012
322012
An EfficientNet-based modified sigmoid transform for enhancing dermatological macro-images of melanoma and nevi skin lesions
V Venugopal, J Joseph, MV Das, MK Nath
Computer Methods and Programs in Biomedicine 222, 106935, 2022
302022
En‐ConvNet: A novel approach for glaucoma detection from color fundus images using ensemble of deep convolutional neural networks
P Elangovan, MK Nath
International Journal of Imaging Systems and Technology, 2022
292022
A review on progress in semantic image segmentation and its application to medical images
MK Kar, MK Nath, DR Neog
SN computer science 2 (5), 397, 2021
282021
A novel deep learning approach for classification of COVID-19 images
MK Nath, A Kanhe, M Mishra
2020 IEEE 5th international conference on computing communication and …, 2020
242020
DTP-Net: A convolutional neural network model to predict threshold for localizing the lesions on dermatological macro-images
V Venugopal, J Joseph, MV Das, MK Nath
Computers in Biology and Medicine 148, 105852, 2022
222022
A novel shallow convnet-18 for malaria parasite detection in thin blood smear images: Cnn based malaria parasite detection
P Elangovan, MK Nath
SN computer science 2 (5), 380, 2021
222021
Automatic grading of macular degeneration from color fundus images
JP Medhi, MK Nath, S Dandapat
2012 World Congress on Information and Communication Technologies, 511-514, 2012
202012
A novel multilevel framework based contrast enhancement for uniform and non-uniform background images using a suitable histogram equalization
D Vijayalakshmi, MK Nath
Digital Signal Processing 127, 103532, 2022
192022
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