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19829

A SYSTEM FOR ACUTE LEUKEMIA CELLS SEGMENTATION AND CLASSIFICATION

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Last updated: 03 Jan 2025

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Abstract

This research paper presents a system for the acute leukemia blast cells segmentation and classification. The research objective is to generate the features characterizing normal and infected cells. The proposed system consists of one segmentation method and one classification method of acute leukemia. The features extracted from the cell and adopted features are used as the input signals to the Multi Layer Perception (MLP) neural network classifier. The experimental results show that our proposed system is robust and effective in identifying acute leukemia blast cells.

DOI

10.21608/ijicis.2016.19829

Keywords

mage Segmentation, ALL, RGB, C-Y color model, features extraction, MLP

Authors

First Name

R.

Last Name

Mohammed

MiddleName

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Affiliation

Computer Science Department, faculty of computer and informatics Mansoura University , Egypt

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Orcid

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First Name

O.

Last Name

Nomir

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Affiliation

Computer Science Department, faculty of computer and informatics Mansoura University , Egypt

Email

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Orcid

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First Name

I.

Last Name

I. Khalifa

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Affiliation

Computer Science Department, faculty of computer and informatics

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Orcid

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First Name

T.

Last Name

Hamza

MiddleName

-

Affiliation

Computer Science Department, faculty of computer and informatics

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Volume

16

Article Issue

4

Related Issue

1936

Issue Date

2016-10-01

Receive Date

2018-11-25

Publish Date

2016-10-01

Page Start

79

Page End

87

Print ISSN

1687-109X

Online ISSN

2535-1710

Article File

IJICIS_Volume 16_Issue 4_Pages 79-87.pdf

PDF . 1.6MB

Link

https://ijicis.journals.ekb.eg/article_19829.html

Detail API

https://ijicis.journals.ekb.eg/service?article_code=19829

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Original Article

Type Code

494

Publication Type

Journal

Publication Title

International Journal of Intelligent Computing and Information Sciences

Publication Link

https://ijicis.journals.ekb.eg/

MainTitle

A SYSTEM FOR ACUTE LEUKEMIA CELLS SEGMENTATION AND CLASSIFICATION

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Article

Created At

22 Jan 2023