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Kumar S.N
Kumar S.N
在 amaljyothi.ac.in 的电子邮件经过验证
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Segmentation by fractional order darwinian particle swarm optimization based multilevel thresholding and improved lossless prediction based compression algorithm for medical images
A Ahilan, G Manogaran, C Raja, S Kadry, SN Kumar, CA Kumar, T Jarin, ...
Ieee Access 7, 89570-89580, 2019
1402019
A study on ECG signal characterization and practical implementation of some ECG characterization techniques
A Appathurai, JJ Carol, C Raja, SN Kumar, AV Daniel, AJG Malar, ...
Measurement 147, 106384, 2019
642019
Suspicious lesion segmentation on brain, mammograms and breast MR images using new optimized spatial feature based super-pixel fuzzy c-means clustering
SN Kumar, AL Fred, PS Varghese
Journal of digital imaging 32, 322-335, 2019
392019
An Overview of Segmentation Algorithms for the Analysis of Anomalies on Medical Images
SN Kumar, AL Fred, PS Varghese
Journal of Intelligent Systems, 2018
372018
A voyage on medical image segmentation algorithms
SV Kumar SN, Lenin Fred A, Muthukumar , Ajay Kumar
Biomedical Research 28 (Special), 1-13, 2017
37*2017
A brief introduction to magnetoencephalography (MEG) and its clinical applications
AL Fred, SN Kumar, A Kumar Haridhas, S Ghosh, ...
Brain sciences 12 (6), 788, 2022
332022
Fuzzy-crow search optimization for medical image segmentation
A Lenin Fred, SN Kumar, P Padmanaban, B Gulyas, H Ajay Kumar
Applications of hybrid metaheuristic algorithms for image processing, 413-439, 2020
322020
Performance metric evaluation of segmentation algorithms for gold standard medical images
SN Kumar, A Lenin Fred, H Ajay Kumar, P Sebastin Varghese
Recent Findings in Intelligent Computing Techniques: Proceedings of the 5th …, 2018
242018
K-means clustering and SVM for plant leaf disease detection and classification
FAP Rani, SN Kumar, AL Fred, C Dyson, V Suresh, PS Jeba
2019 International Conference on Recent Advances in Energy-efficient …, 2019
192019
Robust Alzheimer’s disease Classification Based on Multimodal Neuroimaging
Akhila D B, Shobhana S, A. L. Fred and S. N. Kumar
2016 IEEE International Conference on Engineering and Technology (ICETECH …, 2016
18*2016
ROI extraction in CT lung images of COVID-19 using Fast Fuzzy C means clustering
SN Kumar, A Ahilan, AL Fred, HA Kumar
Biomedical Engineering Tools for Management for Patients with COVID-19, 103-119, 2021
162021
Compression of CT images using contextual vector quantization with simulated annealing for telemedicine application
SN Kumar, A Lenin Fred, P Sebastin Varghese
Journal of Medical Systems 42 (11), 218, 2018
152018
Gaussian Hermite polynomial based lossless medical image compression
SN Kumar, A Ahilan, AK Haridhas, J Sebastian
Multimedia Systems 27 (1), 15-31, 2021
142021
Lossless compression of CT images by an improved prediction scheme using least square algorithm
SN Kumar, AL Fred, HA Kumar, PS Varghese
Circuits, Systems, and Signal Processing 39 (2), 522-542, 2020
132020
Automatic segmentation of lung lobes and fissures for surgical planning
VK S N Kumar
International Conference on Emerging Trends in Electrical and Computer …, 2011
132011
Bat optimization-based vector quantization algorithm for compression of CT medical images
SN Kumar, A Lenin Fred, H Ajay Kumar, P Sebastin Varghese, AV Daniel
ICTMI 2017: Proceedings of the International Conference on Translational …, 2019
122019
Firefly optimization based improved fuzzy clustering for CT/MR image segmentation
SN Kumar, A Lenin Fred, H Ajay Kumar, P Sebastin Varghese
Nature inspired optimization techniques for image processing applications, 1-28, 2019
122019
2d lorentz chaotic model coupled with logistic chaotic model for medical image encryption: Towards ensuring security for teleradiology
S John, SN Kumar
Procedia Computer Science 218, 918-926, 2023
112023
Bat optimization based vector quantization algorithm for medical image compression
AL Fred, SN Kumar, H Ajay Kumar, W Abisha
Nature inspired optimization techniques for image processing applications, 29-54, 2019
112019
Deep learning algorithms in medical image processing for cancer diagnosis: Overview, challenges and future
SN Kumar, A Lenin Fred, P Padmanabhan, B Gulyas, H Ajay Kumar, ...
Deep learning for cancer diagnosis, 37-66, 2021
102021
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