Thiyagarajan Arunprasath
Orcid: 0000-0003-4891-4779Affiliations:
- Kalasalingam Academy of Research and Education, School of Electronics and Electrical Technology, Tamil Nadu, India
According to our database1,
Thiyagarajan Arunprasath
authored at least 17 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Crossover smell agent optimized multilayer perceptron for precise brain tumor classification on MRI images.
Expert Syst. Appl., March, 2024
Int. J. Imaging Syst. Technol., January, 2024
2023
Hybrid D-OCapNet: Automated Multi-Class Alzheimer's Disease Classification in Brain MRI Using Hybrid Dense Optimal Capsule Network.
Int. J. Pattern Recognit. Artif. Intell., December, 2023
2022
Agnostic multimodal brain anomalies detection using a novel single-structured framework for better patient diagnosis and therapeutic planning in clinical oncology.
Biomed. Signal Process. Control., 2022
A biologically-inspired hybrid deep learning approach for brain tumor classification from magnetic resonance imaging using improved gabor wavelet transform and Elmann-BiLSTM network.
Biomed. Signal Process. Control., 2022
2021
A smartly designed automated map based clustering algorithm for the enhanced diagnosis of pathologies in brain MR images.
Expert Syst. J. Knowl. Eng., 2021
2020
Automated unsupervised learning-based clustering approach for effective anomaly detection in brain magnetic resonance imaging (MRI).
IET Image Process., 2020
2019
Unsupervised learning-based clustering approach for smart identification of pathologies and segmentation of tissues in brain magnetic resonance imaging.
Int. J. Imaging Syst. Technol., 2019
Analysis and classification of malignancy in pancreatic magnetic resonance images using neural network techniques.
Int. J. Imaging Syst. Technol., 2019
2018
Development of a combinational framework to concurrently perform tissue segmentation and tumor identification in T1 - W, T2 - W, FLAIR and MPR type magnetic resonance brain images.
Expert Syst. Appl., 2018
Computer-aided automated discrimination of Alzheimer's disease and its clinical progression in magnetic resonance images using hybrid clustering and game theory-based classification strategies.
Comput. Electr. Eng., 2018
2017
Tumor detection in T1, T2, FLAIR and MPR brain images using a combination of optimization and fuzzy clustering improved by seed-based region growing algorithm.
Int. J. Imaging Syst. Technol., 2017
A fully automated hybrid methodology using Cuckoo-based fuzzy clustering technique for magnetic resonance brain image segmentation.
Int. J. Imaging Syst. Technol., 2017
An automated hybrid approach using clustering and nature inspired optimization technique for improved tumor and tissue segmentation in magnetic resonance brain images.
Appl. Soft Comput., 2017
2016
Proceedings of the Theoretical Computer Science and Discrete Mathematics, 2016
2015
Int. J. Imaging Syst. Technol., 2015
2014