Multimodal medical image sensor fusion framework using cascade of wavelet and contourlet transform domains
V Bhateja, H Patel, A Krishn, A Sahu… - IEEE Sensors …, 2015 - ieeexplore.ieee.org
Multimodal medical image fusion is effectuated to minimize the redundancy while
augmenting the necessary information from the input images acquired using different …
augmenting the necessary information from the input images acquired using different …
Automated mammogram breast cancer detection using the optimized combination of convolutional and recurrent neural network
RS Patil, N Biradar - Evolutionary intelligence, 2021 - Springer
The objective of this study is to frame mammogram breast detection model using the
optimized hybrid classifier. Image pre-processing, tumor segmentation, feature extraction …
optimized hybrid classifier. Image pre-processing, tumor segmentation, feature extraction …
An intelligent method for iris recognition using supervised machine learning techniques
In the new millennium, with chaotic situation that exist in the world, people are threaten with
multifarious terrorist attacks. There have been several intelligent ways in order to recognize …
multifarious terrorist attacks. There have been several intelligent ways in order to recognize …
Human visual system based optimized mathematical morphology approach for enhancement of brain MR images
V Bhateja, M Nigam, AS Bhadauria, A Arya… - Journal of Ambient …, 2024 - Springer
Brain tumor is a life-threatening disease with fast growth rate, which makes its detection a
critical task. However, low contrast and noise content in brain magnetic resonance images …
critical task. However, low contrast and noise content in brain magnetic resonance images …
Medical image fusion with Laplacian pyramids
A Sahu, V Bhateja, A Krishn - 2014 International conference …, 2014 - ieeexplore.ieee.org
Fusion of various images aids the rejuvenation of complementary attributes of the images.
Similarly, medical image fusion constructs a composite image comprehending significant …
Similarly, medical image fusion constructs a composite image comprehending significant …
An improved mammogram classification approach using back propagation neural network
A Gautam, V Bhateja, A Tiwari… - Data Engineering and …, 2018 - Springer
Mammograms are generally contaminated by quantum noise, degrading their visual quality
and thereby the performance of the classifier in Computer-Aided Diagnosis (CAD). Hence …
and thereby the performance of the classifier in Computer-Aided Diagnosis (CAD). Hence …
Haralick features-based classification of mammograms using SVM
V Bhateja, A Gautam, A Tiwari, LN Bao… - … Systems Design and …, 2018 - Springer
The contrast enhancement of mammograms at preprocessing stage optimizes the overall
performance of a computer-aided detection (CAD) system for breast cancer. In the proposed …
performance of a computer-aided detection (CAD) system for breast cancer. In the proposed …
An overview of pectoral muscle extraction algorithms applied to digital mammograms
Substantial numbers of patients are reaching to a progressive breast cancer stage due to
increase in the false negatives coming out of cumbersome and tedious job of continuously …
increase in the false negatives coming out of cumbersome and tedious job of continuously …
Medical image fusion using combination of PCA and wavelet analysis
A Krishn, V Bhateja, A Sahu - 2014 international conference …, 2014 - ieeexplore.ieee.org
Medical image fusion for merging of complementary diagnostic content has been carried out
in this paper using Principal Component Analysis (PCA) and Wavelets. The proposed fusion …
in this paper using Principal Component Analysis (PCA) and Wavelets. The proposed fusion …
Human visual system based unsharp masking for enhancement of mammographic images
Abstract Non-Linear Polynomial Filters (NPF) consists of a schema of linear and quadratic
filter components operating as a fusion of low-and high pass filters. NPF has shown …
filter components operating as a fusion of low-and high pass filters. NPF has shown …