Sanjay Agrawal
Orcid: 0000-0002-7966-1412Affiliations:
- VSS University of Technology, Burla, Odisha, India
According to our database1,
Sanjay Agrawal
authored at least 41 papers
between 2010 and 2024.
Collaborative distances:
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Bibliography
2024
Pathological brain classification using multiple kernel-based deep convolutional neural network.
Neural Comput. Appl., January, 2024
2023
A non-entropy-based optimal multilevel threshold selection technique for COVID-19 X-ray images using chance-based birds' intelligence.
Soft Comput., December, 2023
A Novel Segmentation Error Minimization-Based Method for Multilevel Optimal Threshold Selection Using Opposition Equilibrium Optimizer.
Int. J. Image Graph., March, 2023
Int. J. Comput. Vis. Robotics, 2023
2022
Dominant color component and adaptive whale optimization algorithm for multilevel thresholding of color images.
Knowl. Based Syst., 2022
J. King Saud Univ. Comput. Inf. Sci., 2022
An optimal statistical feature-based transformation function for enhancement of retinal images using adaptive enhanced leader particle swarm optimization.
Int. J. Imaging Syst. Technol., 2022
An efficient multiclass classifier for classification of Alzheimer's disease/mild cognitive impairment/Normal subjects.
Int. J. Imaging Syst. Technol., 2022
Differential exponential entropy-based multilevel threshold selection methodology for colour satellite images using equilibrium-cuckoo search optimizer.
Eng. Appl. Artif. Intell., 2022
A novel framework for retinal vessel segmentation using optimal improved frangi filter and adaptive weighted spatial FCM.
Comput. Biol. Medicine, 2022
A Novel Practical Decisive Row-Class Entropy-Based Technique for Multilevel Threshold Selection Using Opposition Flow Directional Algorithm.
IEEE Access, 2022
Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022
2021
IEEE Trans. Cybern., 2021
A novel evolutionary row class entropy based optimal multi-level thresholding technique for brain MR images.
Expert Syst. Appl., 2021
Proceedings of the 12th International Conference on Computing Communication and Networking Technologies, 2021
2020
A Novel Diagonal Class Entropy-Based Multilevel Image Thresholding Using Coral Reef Optimization.
IEEE Trans. Syst. Man Cybern. Syst., 2020
State-of-the Art Optimal Multilevel Thresholding Methods for Brain MR Image Analysis.
Rev. d'Intelligence Artif., 2020
A novel automated absolute intensity difference based technique for optimal MR brain image thresholding.
J. King Saud Univ. Comput. Inf. Sci., 2020
A novel region-based multimodal image fusion technique using improved dictionary learning.
Int. J. Imaging Syst. Technol., 2020
Novel fuzzy clustering-based bias field correction technique for brain magnetic resonance images.
IET Image Process., 2020
Proceedings of the 11th International Conference on Computing, 2020
Brain Magnetic Resonance Image Tumor Detection and Segmentation Using Edgeless Active Contour.
Proceedings of the 11th International Conference on Computing, 2020
A Nonlocal Spatial Coherent Fuzzy C-Means Clustering for Bias Field Correction in Brain MR Images.
Proceedings of the Computer Vision and Image Processing - 5th International Conference, 2020
2019
Rev. d'Intelligence Artif., 2019
Proceedings of the Computer Vision and Image Processing - 4th International Conference, 2019
2018
Nested cross-validation based adaptive sparse representation algorithm and its application to pathological brain classification.
Expert Syst. Appl., 2018
2017
Swarm Evol. Comput., 2017
Optimal breast cancer classification using Gauss-Newton representation based algorithm.
Expert Syst. Appl., 2017
Eng. Appl. Artif. Intell., 2017
An evolutionary gray gradient algorithm for multilevel thresholding of brain MR images using soft computing techniques.
Appl. Soft Comput., 2017
Proceedings of the Soft Computing for Problem Solving, 2017
Gauss-Newton Representation Based Algorithm for Magnetic Resonance Brain Image Classification.
Proceedings of the Intelligent Systems Design and Applications, 2017
2014
A study on fuzzy clustering for magnetic resonance brain image segmentation using soft computing approaches.
Appl. Soft Comput., 2014
2013
Swarm Evol. Comput., 2013
Expert Syst. Appl., 2013
Proceedings of the 2013 IEEE Symposium on Swarm Intelligence, 2013
BFO-RLDA: A New Classification Scheme for Face Images Using Probabilistic Reasoning Model.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2013
2012
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2012
2011
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2011
2010
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2010