Beta
245161

Literature Review of Segmentation and Classification of Medical Images

Article

Last updated: 23 Jan 2023

Subjects

-

Tags

-

Abstract

The brain tumor segmentation is one of the highly focused regions in the community of medical science. Brain tumor segmentation has been employed to define the tumor area to help for disease diagnosis and select the best methods for the treatment of diseases. It is a tool to separate a portion of the tumor from the entire image. This paper presents a thorough literature review of recent techniques of brain tumor segmentation. Several techniques of image segmentation are briefly explained with the recent contribution of various researchers.The brain tumor is a mass of abnormal cells. It consists of two types: malignant and benign. Brain tumor symptoms can be general or pre-defined. General symptoms are caused by tumor pressure on the brain or spinal cord. Pre-defined symptoms are caused, when a certain part of the brain does not function well due to a tumor. The researchers applied different imaging modalities to detect anatomical structures from several medical imaging systems

DOI

10.21608/ejai.2022.142684.1005

Keywords

Brain tumor, classification, Segmentation techniques

Authors

First Name

Noha A.

Last Name

El-Hag

MiddleName

-

Affiliation

Department of Management of Information Systems, Higher Institute of Commercial Science, El-Mahala EL-Kobra, Egypt

Email

nohaeng940@yahoo.com

City

-

Orcid

-

Volume

1

Article Issue

1

Related Issue

34593

Issue Date

2022-06-01

Receive Date

2022-06-03

Publish Date

2022-06-01

Print ISSN

2786-0205

Online ISSN

2786-0213

Link

https://ejai.journals.ekb.eg/article_245161.html

Detail API

https://ejai.journals.ekb.eg/service?article_code=245161

Order

245,161

Type

Original Article

Type Code

1,898

Publication Type

Journal

Publication Title

Egyptian Journal of Artificial Intelligence

Publication Link

https://ejai.journals.ekb.eg/

MainTitle

-

Details

Type

Article

Created At

23 Jan 2023