Brain tumor occurs owing to uncontrolled and rapid growth of cells. If not treated at an initial
phase, it may lead to death. Despite many significant efforts and promising outcomes in this …

A review on the recent segmentation and tumor grade classification techniques of brain
Magnetic Resonance (MR) Images is the objective of this paper. The requisite for early …

Brain tumor is one of the most dangerous cancers in people of all ages, and its grade
recognition is a challenging problem for radiologists in health monitoring and automated …

Tumor in brain is a major cause of death in human beings. If not treated properly and timely,
there is a high chance of it to become malignant. Therefore, brain tumor detection at an …

The brain tumor is considered the deadly disease of the century. At present, neuroscience
and artificial intelligence conspire in the timely delineation, detection, and classification of …

Super-resolution, which is one of the trend issues of recent times, increases the resolution of
the images to higher levels. Increasing the resolution of a vital image in terms of the …

Abstract Nowadays, a Magnetic Resonance Image (MRI) scan acts as an efficient tool for
efficiently detecting the abnormal tissues present in the brain. It is a complex process for …

An early intervention of Alzheimer's disease (AD) is highly essential due to the fact that this
neuro degenerative disease generates major life-threatening issues, especially memory …

This article presents a systematic review of the current computational technologies applied
to medical images for the detection, segmentation, and classification of strokes. Besides …

In this paper, a robust sparse representation for medical image classification is proposed
based on the adaptive type-2 fuzzy learning (T2-FDL) system. In the proposed method …