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114377

AUTOMATIC IMAGE SEGMENTATION METHOD FOR BREAST CANCER ANALYSIS USING THERMOGRAPHY

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Last updated: 04 Jan 2025

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Tags

Electrical Engineering, Computer Engineering and Electrical power and machines engineering.

Abstract

Breast Cancer (BC) is considered one from various diseases that has got great attention in the last decades. This is because the high mortality rates among young women in the whole world according to this disease. The early detection of this disease is necessary to enhance the opportunity of survival. Thermography is an efficient screening tool that can help in detecting BC by indicating parts of the body where an abnormal temperature variation is found. To realize an effective BC detection system using thermography, it is necessary to locate the region of interest (ROI) in the thermograms prior to analysis. This paper introduces a new automatic segmentation method (SM) for identifying the ROI image from breast thermograms. It depends on the statistics of image in DMR-IR database. After detecting the boundaries of ROI using this new SM, two different approaches for accurate identifying and enhancing the breast boundaries are investigated: the Hough transform (HT) algorithm to locate and define the parabola curves in the breast image, and a second approach introducing the enhancement of the contrast of detected boundaries in the breast ROI image. To evaluate the results of this method, statistical features have been extracted from the segmented ROI image. Then, we used the Support Vector Machine (SVM) and the Artificial Neural Network (ANN) classifiers to detect the normal and abnormal breasts based on these features. The experimental results prove that the accuracy of SVM, and ANN classifiers reached to 96.67% and 96.07%, respectively. This denotes that the proposed automatic SM is a favorable technique for extracting the breast ROI image from breast thermograms.

DOI

10.21608/jesaun.2017.114377

Keywords

breast cancer, Thermography, Region of Interest, Segmentation Method, classifiers

Authors

First Name

Aya

Last Name

Hossam

MiddleName

-

Affiliation

Electrical Eng. Depart, Faculty of Engineering (Shoubra), Benha University, Cairo, Egypt

Email

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City

-

Orcid

-

First Name

Hany M.

Last Name

Harb

MiddleName

-

Affiliation

Computers and Systems Eng. Depart, Faculty of Engineering, Azhar university, Cairo, Egypt

Email

-

City

-

Orcid

-

First Name

Hala M.

Last Name

Abd El Kader

MiddleName

-

Affiliation

Electrical Eng. Depart, Faculty of Engineering (Shoubra), Benha University, Cairo, Egypt

Email

-

City

-

Orcid

-

Volume

46

Article Issue

No 1

Related Issue

16632

Issue Date

2018-01-01

Receive Date

2017-10-16

Publish Date

2018-01-01

Page Start

12

Page End

32

Print ISSN

1687-0530

Online ISSN

2356-8550

Article File

JESAUN_Volume 46_Issue No 1_Pages 12-32.pdf

PDF . 773.5kB

Link

https://jesaun.journals.ekb.eg/article_114377.html

Detail API

https://jesaun.journals.ekb.eg/service?article_code=114377

Order

2

Type

Research Paper

Type Code

1,438

Publication Type

Journal

Publication Title

JES. Journal of Engineering Sciences

Publication Link

https://jesaun.journals.ekb.eg/

MainTitle

AUTOMATIC IMAGE SEGMENTATION METHOD FOR BREAST CANCER ANALYSIS USING THERMOGRAPHY

Details

Type

Article

Created At

23 Jan 2023