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Satya Savithri
Satya Savithri
professor of Electronics Communication Engineering
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Title
Cited by
Cited by
Year
Unsupervised fuzzy based vessel segmentation in pathological digital fundus images
GB Kande, PV Subbaiah, TS Savithri
Journal of medical systems 34, 849-858, 2010
1622010
Automatic detection of microaneurysms and hemorrhages in digital fundus images
GB Kande, TS Savithri, PV Subbaiah
Journal of digital imaging 23, 430-437, 2010
1092010
Segmentation of exudates and optic disk in retinal images
GB Kande, PV Subbaiah, TS Savithri
2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing …, 2008
1022008
Classification of EEG motor imagery multi class signals based on cross correlation
DH Krishna, IA Pasha, TS Savithri
Procedia Computer Science 85, 490-495, 2016
512016
Segmentation of tissues in brain MRI images using dynamic neuro-fuzzy technique
SJ Hussain, TS Savithri, PVS Devi
International Journal of Soft Computing and Engineering 1 (6), 2231-2307, 2012
492012
Classification of multispectral satellite images using clustering with SVM classifier
SVS Prasad, TS Savitri, IVM Krishna
International Journal of Computer Applications 35 (5), 32-44, 2011
412011
Segmentation of vessels in fundus images using spatially weighted fuzzy c-means clustering algorithm
GB Kande, TS Savithri, PV Subbaiah
International journal of computer science and network security 7 (12), 102-109, 2007
392007
Multilevel thresholding method based on electromagnetism for accurate brain MRI segmentation to detect white matter, gray matter, and CSF
G Sandhya, G Babu Kande, TS Savithri
BioMed research international 2017, 2017
322017
Feature extraction in digital fundus images
GB Kande, PV Subbaiah, TS Savithri
Journal of Medical and Biological Engineering 29 (3), 122-130, 2009
312009
Detection of red lesions in digital fundus images
GB Kande, TS Savithri, PV Subbaiah, MRM Tagore
2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2009
292009
Comparison of accuracy measures for RS image classification using SVM and ANN classifiers
SVS Prasad, TS Savithri, IVM Krishna
International Journal of Electrical and Computer Engineering 7 (3), 1180, 2017
282017
Performance evaluation of SVM kernels on multispectral LISS III data for object classification
SVS Prasad, TS Savithiri, VM Krishna
International Journal on Smart Sensing and Intelligent Systems 10 (4), 1-16, 2017
262017
“Statistical Tuning of the Best suited Prediction Model for Measurements made in Hyderabad City of Southern India.”
HL A.Bhuvaneswari, T.Satya Savithri
WCECS 2, 2013
26*2013
Techniques in image classification; A survey
SVS Prasad, TS Savithri, IVM Krishna
Global Journal of Researches in Engineering: Electrical and Electronics …, 2015
242015
A new technique for color based image segmentation using support vector machines
SVS Prasad, TS Savithri, IVM Krishna
2014 International Conference on Medical Imaging, m-Health and Emerging …, 2014
152014
Person follower robotic system
D Sanjay, TS Savithri, PR Kumar
2014 International Conference on Control, Instrumentation, Communication and …, 2014
132014
Segmentation of brain MRI with statistical and 2D wavelet features by using neural networks
SJ Hussain, AS Savithri, PVS Devi
3rd International Conference on Trendz in Information Sciences & Computing …, 2011
132011
A Novel approach and Implementation of Robot path planning using Parallel processing algorithm
MC Chinnaiah, D Sanjay, PR Kumar, TS Savithn
2012 International Conference on Communications, Devices and Intelligent …, 2012
112012
Retinal vessel segmentation using local relative entropy thresholding
GB Kande, TS Savithri, PV Subbaiah
2008 IEEE International Conference on Systems, Man and Cybernetics, 3448-3453, 2008
102008
Segmentation of MR Images of the Brain to Detect WM, GM, and CSF Tissues in the Presence of Noise and Intensity Inhomogeneity
S Gudise, GB Kande
IETE Journal of Research 65 (2), 250-262, 2019
92019
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