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Dr Giri Babu Kande
Dr Giri Babu Kande
Professor in ECE & Dean of Academics, Vasireddy Venkatadri Institute of Technology, Nambur, Guntur
Verified email at vvitguntur.com
Title
Cited by
Cited by
Year
Segmentation of optic disk and optic cup from digital fundus images for the assessment of glaucoma
PS Mittapalli, GB Kande
Biomedical Signal Processing and Control 24, 34-46, 2016
1652016
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
Automated lung segmentation from HRCT scans with diffuse parenchymal lung diseases
AR Pulagam, GB Kande, VKR Ede, RB Inampudi
Journal of digital imaging 29, 507-519, 2016
462016
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
TSS G Sandhya, GB Kande
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
A novel approach for the detection tumor in MR images of the brain and its classification via Independent component analysis and kernel support vector machine
TSS G Sandhya, GB Kande
Imaging in Medicine 9 (3), 33-44, 2017
232017
Segmentation of retinal vasculature using phase congruency and hierarchical clustering
MRN Tagore, GB Kande, EVK Rao, BP Rao
2013 International Conference on Advances in Computing, Communications and …, 2013
192013
Differential diagnosis of Interstitial Lung Diseases using Deep Learning networks
BPR VN Sukanya Doddavarapu, GB Kande
The Imaging Science Journal 68 (3), 170-178, 2020
112020
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
Performance evaluation of active contours based methods for the detection of brain tumours in MR images
G Sandhya, KG Babu, TS Savithri
International Journal of Biomedical Engineering and Technology 18 (3), 210-226, 2015
92015
Retinal vessel segmentation using histogram matching
GB Kande, TS Savithri, PV Subbaiah
APCCAS 2008-2008 IEEE Asia Pacific Conference on Circuits and Systems, 129-132, 2008
92008
An efficient MRI brain tumor segmentation by the fusion of active contour model and self-organizing-map
G Sandhya, GB Kande, ST Satya
Journal of Biomimetics, Biomaterials and Biomedical Engineering 40, 79-91, 2019
82019
Detection of normal and abnormal tissues in MR images of the brain using an advanced multilevel thresholding technique and kernel SVM classifier
G Sandhya, GB Kande, TS Savithri
2017 International Conference on Computer Communication and Informatics …, 2017
82017
Extraction of exudates and blood vessels in digital fundus images
GB Kande, TS Savithri, PV Subbaiah
2008 8th IEEE International Conference on Computer and Information …, 2008
82008
Tumor segmentation by a self-organizing-map based active contour model (SOMACM) from the brain MRIs
G Sandhya, GB Kande, TS Savithri
IETE Journal of Research 68 (6), 3927-3939, 2022
72022
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