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107516

Efficient Breast Cancer Classification Using Tumor Area and Boundaries Calculation

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Last updated: 26 Dec 2024

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Abstract

Many of the women across the world suffer from breast cancer. Since the causes of this disease remain unknown, early detection and diagnosis are essential to control the breast cancer, increase the success of the treatment, save live, and reduce costs. Unfortunately, the methods proposed in the literature are suffering from low detection rates. In this paper, we proposed two new methods called C-Comp and CRoI. Both methods efficiently detect benign and malignant breast cancer tumors using shape circularity. The experimental results show that, the proposed C-Comp method achieved a detection rate of 12.3% higher than other previous work. However, the proposed CRoI method achieved a detection rate of 5.6 % higher than other previous work.

DOI

10.21608/fcihib.2019.107516

Keywords

breast cancer, Tumor Circularity, Tumor Classification, and Tumor Detection

Authors

First Name

Taha

Last Name

Mahdy Mohamed

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Orcid

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First Name

Belal

Last Name

A. Elmonem

MiddleName

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Orcid

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First Name

Sherif

Last Name

Kholeif

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Volume

1

Article Issue

2

Related Issue

16265

Issue Date

2019-07-01

Receive Date

2019-07-25

Publish Date

2019-07-25

Page Start

1

Page End

5

Print ISSN

2537-0901

Online ISSN

2535-1397

Article File

FCIHIB_Volume 1_Issue 2_Pages 1-5.pdf

PDF . 489.9kB

Link

https://fcihib.journals.ekb.eg/article_107516.html

Detail API

https://fcihib.journals.ekb.eg/service?article_code=107516

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المقالة الأصلية

Type Code

1,411

Publication Type

Journal

Publication Title

النشرة المعلوماتية في الحاسبات والمعلومات

Publication Link

https://fcihib.journals.ekb.eg/

MainTitle

Efficient Breast Cancer Classification Using Tumor Area and Boundaries Calculation

Details

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Article

Created At

23 Jan 2023