Our Faculty

Year : 2023

MR Image Block-Based Brain Tumour Detection Using GLCM Texture Features and SVM

Cite this Research Publication : Syedsafi, S., Sriramakrishnan, P., Kalaiselvi, T. (2023), "MR Image Block-Based Brain Tumour Detection Using GLCM Texture Features and SVM," In: Reddy, A.B., Nagini, S., Balas, V.E., Raju, K.S. (eds) Proceedings of Third International Conference on Advances in Computer Engineering and Communication Systems. Lecture Notes in Networks and Systems, vol 612. pp. 211-225, Springer, Singapore. https://doi.org/10.1007/978-981-19-9228-5_19 ISBN: 978-981-19-9227-8

Publisher : Springer

Year : 2022

A Survey on Machine Learning Approaches used in Breast Cancer Detection

Cite this Research Publication : Guru Maheshwari and P. Sriramakrishnan, "A Survey on Machine Learning Approaches used in Breast Cancer Detection", Proceedings of the International Conference on Inventive Research in Computing Applications (ICIRCA 2022), IEEE Explore, pp. 789-795, 2022 ISBN: 978-1-6654-9707-7/22

Publisher : IEEE Xplore

Year : 2019

Designing Communication System for Person with Locked in Syndrome Using Machine Learning Technique

Cite this Research Publication : S. Ramkumar; G. Emayavaramban; K. Sathesh Kumar; K. Shankar; M. Ilayaraja; P. Sriramakrishnan; J. Macklin Abraham Navamani, "Designing Communication System for Person with Locked in Syndrome Using Machine Learning Technique", 2019 IEEE International Conference on Clean Energy and Energy Efficient Electronics Circuit for Sustainable Development (INCCES), IEEE, Krishnankoil, India,

Publisher : IEEE

Year : 2016

Brain Abnormality Detection from MRI of Human Head Scans using the Bilateral Symmetry Property and Histogram Similarity Measures

Cite this Research Publication : T. Kalaiselvi, P. Sriramakrishnan and K. Somasundaram, "Brain Abnormality Detection from MRI of Human Head Scans using the Bilateral Symmetry Property and Histogram Similarity Measures", The 20th International Computer Science and Engineering Conference 2016, IEEE Explore, 14 - 17 December 2016, Chiang Mai Orchid Hotel, Chiangmai, Thailand. IEEE, 2017,
DOI: 10.1109/ICSEC.2016.7859867

Publisher : IEEE

Year : 2022

Advancements of MRI-based brain Tumor Segmentation from Traditional to Recent Trends- A Review

Cite this Research Publication : Kalaiselvi T, Padmapriya S T, Sriramakrishnan P, Somasundaram K., "Advancements of MRI-based brain Tumor Segmentation from Traditional to Recent Trends- A Review", Current Medical Imaging, Bentham Science, Vol. 18, No.12, pp. 1261-1275 , 2022. DOI: 10.2174/1573405617666211215111937

Year : 2021

An Automatic Self Initialized Clustering Method for Brain Tissue Segmentation and Pathology Detection from MR Human Head Scans

Cite this Research Publication : T. Kalaiselvi, N. Kalaichelvi, P. Sriramakrishnan, "An Automatic Self Initialized Clustering Method for Brain Tissue Segmentation and Pathology Detection from MR Human Head Scans", Concurrent and computation practice and experience, Vol. 33, No. 6, e6084, pp. 1-14, Mar 2021.

Year : 2020

Three-Phase Automatic Brain Tumor Diagnosis System using Patches based Updated Run Length Region Growing Technique

Cite this Research Publication : Kalaiselvi T, Kumarashankar P, Sriramakrishnan P, "Three-Phase Automatic Brain Tumor Diagnosis System using Patches based Updated Run Length Region Growing Technique", Journal of Digital Imaging, Vol. 33, pp. 465-479, 2020.

Year : 2020

Development of automatic glioma brain tumor detection system using deep convolutional neural networks

Cite this Research Publication : Kalaiselvi T, Padmapriya S T, Sriramakrishnan P, Priyadharshini V, "Development of automatic glioma brain tumor detection system using deep convolutional neural networks", International Journal of Imaging Systems and Technology, Vol. 30, No. 4, pp.926–938, 2020, Wiley Publisher, 1098-1098.

Year : 2020

Knowledge Based Fuzzy C-Means Method for Rapid Segmentation of Brain Tissues from Magnetic Resonance Imaging Scans using CPU and GPU Machine

Cite this Research Publication : Prajoona Valsalan, P. Sriramakrishnan, S. Sridhar, G. Charlyn Pushpa Latha, A. Priya, S. Ramkumar, A. Robert Singh, T. Rajendran, "Knowledge Based Fuzzy C-Means Method for Rapid Segmentation of Brain Tissues from Magnetic Resonance Imaging Scans using CPU and GPU Machine", Journal of Ambient Intelligence and Humanized Computing, pp. 1-14, 2020.

Year : 2019

A rapid knowledge-based partial supervision fuzzy c-means for brain tissue segmentation with CUDA-enabled GPU machine

Cite this Research Publication : Sriramakrishnan P, Kalaiselvi T, Somasundaram K, Rajeshwaran R, "A rapid knowledge-based partial supervision fuzzy c-means for brain tissue segmentation with CUDA-enabled GPU machine", International Journal of Imaging Systems and Technology, Vol. 29, No. 4, pp. 547 - 560, November 2019, Wiley Publisher, 1098-1098.

Year : 2019

Modified Local Ternary Pattern Technique for Brain Tumor Segmentation and Volume Estimation from MRI Multisequence Scans with CUDA Enabled GPU Machine

Cite this Research Publication : Sriramakrishnan P, Kalaiselvi T and Rajeswaran R, "Modified Local Ternary Pattern Technique for Brain Tumor Segmentation and Volume Estimation from MRI Multisequence Scans with CUDA Enabled GPU Machine", Biocybenatics and Biomedical Engineering, Vol. 39, Issue 2, pp. 470-487, April–June 2019, Elsevier Publisher, (IF. 5.687), ISSN: 0208-5216

Year : 2018

Rapid Brain Tissue Segmentation Process by Modified FCM Algorithm with CUDA Enabled GPU Machine

Cite this Research Publication : Kalaiselvi T and Sriramakrishnan P, "Rapid Brain Tissue Segmentation Process by Modified FCM Algorithm with CUDA Enabled GPU Machine", International Journal of Imaging Systems and Technology, Vol. 28, No. 3, pp. 163-174, September 2018, Wiley Publisher, 1098-1098.