Brain tumor magnetic resonance images classification based machine learning paradigms.

ABSTRACT:

Introduction

Cancer of the nervous system is one of the most common types of cancer in the world and mostly due to presence of a tumour in the brain. The symptoms and severity of the brain tumour depend on its location. The tumour within the brain may develop from nerves, dura (meningioma), pituitary gland (pituitary adenoma), or from the brain tissue itself (glioma).

Material and methods

In this study we proposed a feature engineering approach for classification magnetic resonance imaging (MRI) of 3 kinds of most common brain tumour, i.e. glioma, meningioma, pituitary, and no-tumour. Here 5 machine learning classifiers were used, i.e. support vector machine, K-nearest neighbour (KNN), Naive Bayes, Decision Tree, and Ensemble classifier with their paradigms.

Results

T

SUBMITTER: Pattanaik BB 

PROVIDER: S-EPMC9933351 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature