Comparative analysis of various enhancement methods for astrocytoma MRI images
RV Suryavamsi, LST Reddy, S Saladi… - … and Signal Processing …, 2018 - ieeexplore.ieee.org
Image processing plays a crucial role in obtaining information from brain images. Magnetic
Resonance Imaging (MRI) techniques provide precious information to the doctors to …
Resonance Imaging (MRI) techniques provide precious information to the doctors to …
Broadband subspace decomposition of convoluted speech data using polynomial EVD algorithms
Y Karuna, GR Reddy - Multimedia Tools and Applications, 2020 - Springer
Abstract The Polynomial EVD (PEVD) was developed to achieve broadband subspace
decomposition as a part of two-stage convolutive Blind Source Separation (BSS) algorithm …
decomposition as a part of two-stage convolutive Blind Source Separation (BSS) algorithm …
An improved type 2 fuzzy C means clustering for MR brain image segmentation based on possibilistic approach and rough set theory
NTJP Kumar, A Sriram, Y Karuna… - … on Communication and …, 2018 - ieeexplore.ieee.org
It is necessary to extract various attributes from an image especially in the field of
neurological pathology. Magnetic Resonance Imaging (MRI) is a popularly used scanning …
neurological pathology. Magnetic Resonance Imaging (MRI) is a popularly used scanning …
Brain MR image classification using DWT and random forest with AdaBoostM1 classifier
GG Krishna, S Ashwin, Y Karuna… - … on Communication and …, 2018 - ieeexplore.ieee.org
This paper proposes automatic and error-free classification of brain Magnetic Resonance
Imaging (MRI) for analyzing and understanding human brain. We incorporated four steps for …
Imaging (MRI) for analyzing and understanding human brain. We incorporated four steps for …
MS lesion segmentation for single and multichannel MRI images using MICO technique
RVS Raghavendra, Y Karuna… - … on Communication and …, 2018 - ieeexplore.ieee.org
We Implement multiplicative intrinsic component optimization technique to single and
multichannel MRI images for segmenting multiple sclerosis lesions. This technique solves …
multichannel MRI images for segmenting multiple sclerosis lesions. This technique solves …
Robust intuitionistic fuzzy c-means clustering algorithm for brain image segmentation
A Monalisa, D Swathi, Y Karuna… - … on Communication and …, 2018 - ieeexplore.ieee.org
The segmentation of the human brain magnetic resonance imaging (MRI) plays a highly
decisive role in diagnosing numerous diseases like tumors, Alzheimer's disease, edema …
decisive role in diagnosing numerous diseases like tumors, Alzheimer's disease, edema …
A Novel Strong Decorrelation Approach for Image Subband Coding Using Polynomial EVD Algorithms
K Yepuganti, GR Reddy - Proceedings of the National Academy of …, 2021 - Springer
Subband coding is a popular technique to achieve multichannel data compression and
efficient data transmission in image and video communications. In this paper, we focus on …
efficient data transmission in image and video communications. In this paper, we focus on …