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 | 166 | 2016 |
Unsupervised fuzzy based vessel segmentation in pathological digital fundus images GB Kande, PV Subbaiah, TS Savithri Journal of medical systems 34, 849-858, 2010 | 164 | 2010 |
Automatic detection of microaneurysms and hemorrhages in digital fundus images GB Kande, TS Savithri, PV Subbaiah Journal of digital imaging 23, 430-437, 2010 | 108 | 2010 |
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 | 102 | 2008 |
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 | 48 | 2016 |
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 | 40 | 2007 |
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 | 32 | 2017 |
Feature extraction in digital fundus images GB Kande, PV Subbaiah, TS Savithri Journal of Medical and Biological Engineering 29 (3), 122-130, 2009 | 31 | 2009 |
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 | 29 | 2009 |
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 | 24 | 2017 |
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 | 19 | 2013 |
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 | 12 | 2020 |
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 | 11 | 2019 |
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 | 10 | 2008 |
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 | 9 | 2022 |
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 | 9 | 2019 |
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 | 9 | 2015 |
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 | 9 | 2008 |
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 | 8 | 2017 |
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 | 8 | 2008 |