The successful early diagnosis of brain tumors plays a major role in improving the treatment
outcomes and thus improving patient survival. Manually evaluating the numerous magnetic …

Brain tumor is an uncontrolled mass of tissues in the brain which originate due to mutated
growth of tissues. Brain tumor has become a leading cost of death in modern day …

Magnetic resonance imaging (MRI) is a high‐quality medical image that is used to detect
brain tumours in a complex and time‐consuming manner. In this study, a back propagation …

A neurological disorder is a problem with the neural system of the body, as a brain tumor is
one of the deadliest neurological conditions and it requires an early and effective detection …

A brain tumour is a mass of tissue formed by abnormal growth of cells within the brain.
Automated detection of brain tumour becomes essential for introduction of robotics based …

In machine learning based disease diagnosis, extraction of relevant and informative features
from medical image slices is vital aspect. Extracted features represent the descriptive nature …

To identify the brain tumor according to the categorial identification by using the symptoms.
Materials and Methods: To identify brain tumors using Kernel Extreme Learning Machine …

Manual segmentation of brain tumour is a time-consuming process and the result of
segmentation varies from person to person. Also, automated tumour region detection has …

Data mining is a growing field of research that intersects with many other fields such as
Artificial Intelligent, Statistics, Visualization, Parallel Computing and Image Processing. Data …

This A comprehensive job search from input space is crucial to securing the job search
reliability of traditional job search algorithm-based methods since they involve enormous …