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ISSN (Print): 1872-2121
ISSN (Online): 2212-4047

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Review Article

Recent Methods and Challenges in Brain Tumor Detection Using Medical Image Processing

Author(s): Sai Yasheswini Kandimalla, Dhara Mohana Vamsi, Samudrala Bhavani and Manikandan V.M.*

Volume 17, Issue 5, 2023

Published on: 12 September, 2022

Article ID: e230822207894 Pages: 16

DOI: 10.2174/1872212117666220823100209

Price: $65

Abstract

A brain tumour is described by the presence of abnormal cells in the brain's tissues. Brain tumours can be benign (not cancerous) or malignant (cancerous). The malignant brain tumour is one of the leading and common cancers in the world. There are two types of tumours, primary tumours that develop in the brain and secondary tumours that start in another region of the body and then spread to the brain. The precise identification of the size and location of a brain tumour is crucial in the diagnosis of a brain tumour and is often diagnosed with magnetic resonance imaging (MRI). This book chapter discusses the major types of brain tumours and the advancements in computeraided approaches for detecting brain tumours. The manuscript gives an overview of various recent machine learning and medical image processing approaches developed recently for the identification and classification of brain tumours. Several medical image dataset available for the research works in this domain is also briefed in this article. The major research challenges which can be addressed by the researchers in the domain of brain tumour detection are also discussed in this article.

Keywords: Brain tumor, magnetic resonance imaging (MRI), machine learning, medical image processing, malignant, gliomas.

Graphical Abstract

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