G. Kande

发表

Segmentation of MR Images of the Brain to Detect WM, GM, and CSF Tissues in the Presence of Noise and Intensity Inhomogeneity

Satya Savithri T., Sandhya Gudise, G. Kande, 2019 .

An Efficient Computational Approach for the Detection of MR Brain Tissues in the Presence of Noise and Intensity Inhomogeneity

G. Kande, G. Sandhya, T. Satya Savithri, 2017 .

Publications by the Author

G. Kande, 2019, Human Jurisprudence.

A novel approach for the detection of tumor in MR images of the brain and its classification via independent component analysis and kernel support vector machine

Sandhya., G. Kande, S. Savithri, 2017 .

Tumor Segmentation by a Self-Organizing-Map based Active Contour Model (SOMACM) from the Brain MRIs

T. Satya Savithri, Giri Babu Kande, G. Sandhya, 2020, IETE Journal of Research.

An Efficient MRI Brain Tumor Segmentation by the Fusion of Active Contour Model and Self-Organizing-Map

Giri Babu Kande, G. Sandhya, Savithri T. Satya, 2019, Journal of Biomimetics, Biomaterials and Biomedical Engineering.

Segmentation of WM, GM, and CSF from the Brain MRIs Using an Advanced Metaheuristic Approach

T. Savithri, G. Kande, G. Sandhya, 2021, IETE Journal of Research.

Rotational invariant fractional derivative filters for lung tissue classification

Giri Babu Kande, V. N. Sukanya Doddavarapu, B. Prabhakar Rao, 2021, IET Image Process..

Segmentation of optic disk and optic cup from digital fundus images for the assessment of glaucoma

Giri Babu Kande, Pardha Saradhi Mittapalli, G. Kande, 2016, Biomed. Signal Process. Control..

Automatic Detection of Microaneurysms and Hemorrhages in Digital Fundus Images

Giri Babu Kande, P. Venkata Subbaiah, Satya Savithri Tirumala, 2010, Journal of Digital Imaging.

Segmentation of retinal vasculature using phase congruency and hierarchical clustering

E. V. Krishna Rao, Giri Babu Kande, M. R. N. Tagore, 2013, 2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

Unsupervised Fuzzy Based Vessel Segmentation In Pathological Digital Fundus Images

Giri Babu Kande, P. Venkata Subbaiah, Satya Savithri Tirumala, 2010, Journal of Medical Systems.

Detection of normal and abnormal tissues in MR images of the brain using an advanced multilevel thresholding technique and kernel SVM classifier

Giri Babu Kande, G. Sandhya, T Satya Savithri, 2017, 2017 International Conference on Computer Communication and Informatics (ICCCI).

Segmentation of Exudates and Optic Disk in Retinal Images

Giri Babu Kande, P. Venkata Subbaiah, Satya Savithri Tirumala, 2008, 2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing.

Automated Lung Segmentation from HRCT Scans with Diffuse Parenchymal Lung Diseases

Ammi Reddy Pulagam, Giri Babu Kande, Venkata Krishna Rao Ede, 2016, Journal of Digital Imaging.

Segmentation of Magnetic Resonance Brain Images Using the Advanced Ant Colony Optimization Technique

T. Satya Savithri, Giri Babu Kande, G. Sandhya, 2020 .

Efficient Majority Logic Fault Detection with Difference-Set Codes for Memory Applications

B. Arun Kumar, Giri Babu Kande, M. R. N. Tagore, 2013 .

Automatic Detection of Diabetic Retinopathy in Non- dilated RGB Retinal Fundus Images

Vipula Singh, B SujithkumarS, M. Niemeijer, 2012 .

Segmentation of Vessels in Fundus Images using Spatially Weighted Fuzzy c-Means Clustering Algorithm

Giri Babu Kande, G. Kande, 2007 .