Simple Summary Recently, radiogenomics has played a significant role and offered a new
understanding of cancer's biology and behavior in response to standard therapy. It also …

Brain tumor identification using magnetic resonance images (MRI) is an important research
domain in the field of medical imaging. Use of computerized techniques helps the doctors for …

Brain tumor is a group of anomalous cells. The brain is enclosed in a more rigid skull. The
abnormal cell grows and initiates a tumor. Detection of tumor is a complicated task due to …

This paper simply presents a state of the art survey among the machine learning based
approaches for the Glioma classification. As Glioma classification is a very challenging task …

In this paper, we propose a palm vein recognition system that combines two approaches
using a decision-level fusion strategy. The first approach employs Binarized Statistical …

Image processing has plays vital role in today's technological world. It can be applied in
numerous application areas such as medical, remote sensing, computer vision etc. Brain …

Using graphic processing units (GPUs) in parallel with central processing unit in order to
accelerate algorithms and applications demanding extensive computational resources has …

The use of a graphics processing unit (GPU) together with a CPU, referred as GPU-
accelerated computing, to accelerate tasks that requires extensive computations has been …

Textural feature extraction of image is a basic work for image analysis. A number of
approaches have been put forward to describe texture features quantitatively, such as gray …

The aim of this research was to provide a detailed overview of the techniques in detecting
and segmenting meningioma brain tumor in pre-and post-operative MRI images and classify …