Deepak Ranjan Nayak
Orcid: 0000-0002-8929-5778
According to our database1,
Deepak Ranjan Nayak
authored at least 48 papers
between 2008 and 2024.
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Bibliography
2024
A survey on cancer detection via convolutional neural networks: Current challenges and future directions.
Neural Networks, January, 2024
ARM-Net: Attention-guided residual multiscale CNN for multiclass brain tumor classification using MR images.
Biomed. Signal Process. Control., January, 2024
2023
M<sup>2</sup>CE: Multi-convolutional neural network ensemble approach for improved multiclass classification of skin lesion.
Expert Syst. J. Knowl. Eng., December, 2023
ACM Trans. Manag. Inf. Syst., March, 2023
CA-Net: A Novel Cascaded Attention-Based Network for Multistage Glaucoma Classification Using Fundus Images.
IEEE Trans. Instrum. Meas., 2023
A comprehensive analysis of dermoscopy images for melanoma detection via deep CNN features.
Biomed. Signal Process. Control., 2023
Proceedings of the IEEE International Conference on Image Processing, 2023
2022
MFL-Net: An Efficient Lightweight Multi-Scale Feature Learning CNN for COVID-19 Diagnosis From CT Images.
IEEE J. Biomed. Health Informatics, 2022
A feature-level fusion based improved multimodal biometric recognition system using ear and profile face.
J. Ambient Intell. Humaniz. Comput., 2022
Int. J. Imaging Syst. Technol., 2022
GDenseMNet: Global Dense Multiscale Feature Learning Network for Efficient COVID-19 Detection in CT Images.
Proceedings of the International Joint Conference on Neural Networks, 2022
Multi-level 3DCNN with Min-Max Ranking Loss for Weakly-Supervised Video Anomaly Detection.
Proceedings of the Neural Information Processing - 29th International Conference, 2022
CDANet: Channel Split Dual Attention Based CNN for Brain Tumor Classification In Mr Images.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Fusion of Local and Global Feature Representation With Sparse Autoencoder for Improved Melanoma Classification.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Towards Exploring Deep Features for Efficient Melanoma Diagnosis in Dermoscopic Images.
Proceedings of the OITS International Conference on Information Technology, 2022
2021
COVID-19 classification by CCSHNet with deep fusion using transfer learning and discriminant correlation analysis.
Inf. Fusion, 2021
A hybrid feature descriptor with Jaya optimised least squares SVM for facial expression recognition.
IET Image Process., 2021
Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study.
Biomed. Signal Process. Control., 2021
ECNet: An evolutionary convolutional network for automated glaucoma detection using fundus images.
Biomed. Signal Process. Control., 2021
A cerebral microbleed diagnosis method via FeatureNet and ensembled randomized neural networks.
Appl. Soft Comput., 2021
Feature Modulating Two-Stream Deep Convolutional Neural Network for Glaucoma Detection in Fundus Images.
Proceedings of the Computer Vision and Image Processing - 6th International Conference, 2021
Improving the Performance of Melanoma Detection in Dermoscopy Images Using Deep CNN Features.
Proceedings of the Artificial Intelligence in Medicine, 2021
2020
IEEE Trans. Sustain. Comput., 2020
Automated diagnosis of multi-class brain abnormalities using MRI images: A deep convolutional neural network based method.
Pattern Recognit. Lett., 2020
Deep extreme learning machine with leaky rectified linear unit for multiclass classification of pathological brain images.
Multim. Tools Appl., 2020
MJCN: Multi-objective Jaya Convolutional Network for handwritten optical character recognition.
Multim. Tools Appl., 2020
H-WordNet: a holistic convolutional neural network approach for handwritten word recognition.
IET Image Process., 2020
A deep stacked random vector functional link network autoencoder for diagnosis of brain abnormalities and breast cancer.
Biomed. Signal Process. Control., 2020
2019
An empirical evaluation of extreme learning machine: application to handwritten character recognition.
Multim. Tools Appl., 2019
CoRR, 2019
Application of fast curvelet Tsallis entropy and kernel random vector functional link network for automated detection of multiclass brain abnormalities.
Comput. Medical Imaging Graph., 2019
MJaya-ELM: A Jaya algorithm with mutation and extreme learning machine based approach for sensorineural hearing loss detection.
Appl. Soft Comput., 2019
2018
Development of pathological brain detection system using Jaya optimized improved extreme learning machine and orthogonal ripplet-II transform.
Multim. Tools Appl., 2018
Multim. Tools Appl., 2018
An Improved Pathological Brain Detection System Based on Two-Dimensional PCA and Evolutionary Extreme Learning Machine.
J. Medical Syst., 2018
Discrete ripplet-II transform and modified PSO based improved evolutionary extreme learning machine for pathological brain detection.
Neurocomputing, 2018
Combining extreme learning machine with modified sine cosine algorithm for detection of pathological brain.
Comput. Electr. Eng., 2018
SCA-RELM: A New Regularized Extreme Learning Machine Based on Sine Cosine Algorithm for Automated Detection of Pathological Brain.
Proceedings of the 27th IEEE International Symposium on Robot and Human Interactive Communication, 2018
2017
Automated pathological brain detection system: A fast discrete curvelet transform and probabilistic neural network based approach.
Expert Syst. Appl., 2017
Pathological Brain Detection using Extreme Learning Machine Trained with Improved Whale Optimization Algorithm.
Proceedings of the Ninth International Conference on Advances in Pattern Recognition, 2017
2016
Simul., 2016
Brain MR image classification using two-dimensional discrete wavelet transform and AdaBoost with random forests.
Neurocomputing, 2016
2015
Classification of brain MR images using discrete wavelet transform and random forests.
Proceedings of the 2015 Fifth National Conference on Computer Vision, 2015
2014
A Cellular Automata based Optimal Edge Detection Technique using Twenty-Five Neighborhood Model.
CoRR, 2014
A Survey on Two Dimensional Cellular Automata and Its Application in Image Processing.
CoRR, 2014
2013
An Efficient Edge Detection Technique by Two Dimensional Rectangular Cellular Automata.
CoRR, 2013
2009
Proceedings of the EMS 2009, 2009
2008
Proceedings of the EMS 2008, 2008