Model-based decentralized Bayesian algorithm for distributed compressed sensing
In this paper, a novel model-based distributed compressive sensing (DCS) algorithm is
proposed. DCS exploits the inter-signal correlations and has the capability to jointly recover …
proposed. DCS exploits the inter-signal correlations and has the capability to jointly recover …
Contourlet Transformed Nakagami Image-based Breast Tumor Classification Using Deep CNN
SM Kabir, MIH Bhuiyan, MA Rahman… - … for Industry 4.0 (STI), 2022 - ieeexplore.ieee.org
It is still unexplored territory to automate the distinction of breast tumors using breast
ultrasound (US) images. The parametric image-based approach described in this research …
ultrasound (US) images. The parametric image-based approach described in this research …
RM-CC Image-Based Breast Tumor Classification Using Vision Transformer
This research aimed to develop an effective method for classifying breast tumors using a
combination of contourlet transformation, parametric imaging, and vision transformer …
combination of contourlet transformation, parametric imaging, and vision transformer …
Weighted contourlet parametric (WCP) feature based breast tumor classification from B-mode ultrasound image
Automated detection of breast tumor in early stages using B-Mode Ultrasound image is
crucial for preventing widespread breast cancer specially among women. This paper is …
crucial for preventing widespread breast cancer specially among women. This paper is …
SAR Image despeckling using vector-based hidden Markov model in wavelet domain
Despecking is an essential part of any synthetic aperture radar (SAR) imagery systems. In
this work, we propose a new despeckling method for SAR images in the wavelet domain …
this work, we propose a new despeckling method for SAR images in the wavelet domain …
Classification Performance of Breast Tumors Using Deep Learning by a Reflected Pixel-Based Augmentation Method
SM Kabir, MIH Bhuiyan, JAS Shah… - … in Engineering (WIE …, 2022 - ieeexplore.ieee.org
Automatic classification of breast tumors from ultrasound B-Mode images using deep
learning is still an exciting area of research. In a deep convolutional neural network (CNN) …
learning is still an exciting area of research. In a deep convolutional neural network (CNN) …
RiIG Modeled Curvelet Coefficient Image-based Breast Tumor Classification Using deep CNN
SM Kabir, MIH Bhuiyan - 2022 12th International Conference on …, 2022 - ieeexplore.ieee.org
Deep learning-based automatic classification of breast tumors using ultrasound (US) B-
Mode images is still a challenging research area. A deep convolutional neural network …
Mode images is still a challenging research area. A deep convolutional neural network …
Seizure detection using Bessel k-form parameters in the empirical mode decomposition domain
In this paper, a statistical analysis of electroencephalogram (EEG) signals is carried out in
the empirical mode decomposition (EMD) domain using a publicly available benchmark …
the empirical mode decomposition (EMD) domain using a publicly available benchmark …