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 | 97 | 2023 |
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 | 85 | 2021 |
A comprehensive survey on image contrast enhancement techniques in spatial domain D Vijayalakshmi, MK Nath, OP Acharya Sensing and Imaging 21 (1), 40, 2020 | 73 | 2020 |
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 | 52 | 2020 |
Image processing techniques for glaucoma detection M Madhusudhan, N Malay, SR Nirmala, D Samerendra Advances in Computing and Communications: First International Conference …, 2011 | 48 | 2011 |
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 | 44 | 2012 |
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 | 42 | 2023 |
Glaucoma detection from color fundus images M Mishra, MK Nath, S Dandapat International Journal of Computer & Communication Technology (IJCCT) 2 (6), 7-10, 2011 | 40 | 2011 |
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 | 36 | 2022 |
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 | 35 | 2021 |
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 | 35 | 2021 |
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 | 34 | 2018 |
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 | 34 | 2012 |
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 | 32 | 2021 |
Analysis of various techniques for ECG signal in healthcare, past, present, and future T Anbalagan, MK Nath, D Vijayalakshmi, A Anbalagan Biomedical Engineering Advances 6, 100089, 2023 | 31 | 2023 |
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 | 31 | 2022 |
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 | 26 | 2022 |
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 | 26 | 2021 |
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 | 25 | 2022 |
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 | 25 | 2020 |