Breast-Cancer Detection using Thermal Images with Marine-Predators-Algorithm Selected Features

Venkatesan Rajinikanth; Seifedine Kadry; David Taniar; Robertas Damasevicius; Hafiz Tayyab Rauf

doi:10.1109/ICBSII51839.2021.9445166

Breast-Cancer Detection using Thermal Images with Marine-Predators-Algorithm Selected Features

Venkatesan Rajinikanth
, Seifedine Kadry
, David Taniar
, Robertas Damasevicius
, Hafiz Tayyab Rauf

Anna University
Noroff University College
Monash University
Silesian University of Technology
University of Staffordshire

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

68 Scopus citations

Abstract

Breast-cancer (BC) is one of the major diseases in women group and the early diagnosis and treatment is necessary to cure the disease. Early detection of BC is very essential to implement appropriate treatment and the proposed research aims to develop an automated BC detection system using Breast-Thermal-Images (BTI). The executed approach is as follows; (i) Recording the image for various breast orientation, (ii) Extracting the healthy/DCIS image patches, (iii) Treating the patches with image processing scheme, (iv) Feature extraction, (v) Feature optimization with Marine-Predators-Algorithm (MPA), and (vi) Two-class classification and validation. In this work, the essential image features, such as GLCM and LBP with varied weights are considered to classify the clinically collected BTI into healthy/DCIS class using a chosen two-class classifier. The result of this study confirms that the Decision-Tree (DT) classifier helps to achieve enhanced accuracy (>92%) compared to other methods adopted in this research.

Original language	English
Title of host publication	Proceedings of 2021 IEEE 7th International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665441261
DOIs	https://doi.org/10.1109/ICBSII51839.2021.9445166
State	Published - 25 Mar 2021
Externally published	Yes
Event	7th IEEE International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021 - Chennai, India Duration: 25 Mar 2021 → 27 Mar 2021

Publication series

Name	Proceedings of 2021 IEEE 7th International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021

Conference

Conference	7th IEEE International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021
Country/Territory	India
City	Chennai
Period	25/03/21 → 27/03/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Breast cancer
Classification
GLCM
LBP
Marine-Predators-Algorithm
Thermal image

Access to Document

10.1109/ICBSII51839.2021.9445166

Cite this

Rajinikanth, V., Kadry, S., Taniar, D., Damasevicius, R., & Rauf, H. T. (2021). Breast-Cancer Detection using Thermal Images with Marine-Predators-Algorithm Selected Features. In Proceedings of 2021 IEEE 7th International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021 Article 9445166 (Proceedings of 2021 IEEE 7th International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICBSII51839.2021.9445166

Rajinikanth, Venkatesan ; Kadry, Seifedine ; Taniar, David et al. / Breast-Cancer Detection using Thermal Images with Marine-Predators-Algorithm Selected Features. Proceedings of 2021 IEEE 7th International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (Proceedings of 2021 IEEE 7th International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021).

@inproceedings{f25732c8c5644888b41c18da610b4b6e,

title = "Breast-Cancer Detection using Thermal Images with Marine-Predators-Algorithm Selected Features",

abstract = "Breast-cancer (BC) is one of the major diseases in women group and the early diagnosis and treatment is necessary to cure the disease. Early detection of BC is very essential to implement appropriate treatment and the proposed research aims to develop an automated BC detection system using Breast-Thermal-Images (BTI). The executed approach is as follows; (i) Recording the image for various breast orientation, (ii) Extracting the healthy/DCIS image patches, (iii) Treating the patches with image processing scheme, (iv) Feature extraction, (v) Feature optimization with Marine-Predators-Algorithm (MPA), and (vi) Two-class classification and validation. In this work, the essential image features, such as GLCM and LBP with varied weights are considered to classify the clinically collected BTI into healthy/DCIS class using a chosen two-class classifier. The result of this study confirms that the Decision-Tree (DT) classifier helps to achieve enhanced accuracy (>92\%) compared to other methods adopted in this research.",

keywords = "Breast cancer, Classification, GLCM, LBP, Marine-Predators-Algorithm, Thermal image",

author = "Venkatesan Rajinikanth and Seifedine Kadry and David Taniar and Robertas Damasevicius and Rauf, \{Hafiz Tayyab\}",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 7th IEEE International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021 ; Conference date: 25-03-2021 Through 27-03-2021",

year = "2021",

month = mar,

day = "25",

doi = "10.1109/ICBSII51839.2021.9445166",

language = "English",

series = "Proceedings of 2021 IEEE 7th International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "Proceedings of 2021 IEEE 7th International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021",

address = "United States",

}

Rajinikanth, V, Kadry, S, Taniar, D, Damasevicius, R & Rauf, HT 2021, Breast-Cancer Detection using Thermal Images with Marine-Predators-Algorithm Selected Features. in Proceedings of 2021 IEEE 7th International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021., 9445166, Proceedings of 2021 IEEE 7th International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021, Institute of Electrical and Electronics Engineers Inc., 7th IEEE International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021, Chennai, India, 25/03/21. https://doi.org/10.1109/ICBSII51839.2021.9445166

Breast-Cancer Detection using Thermal Images with Marine-Predators-Algorithm Selected Features. / Rajinikanth, Venkatesan; Kadry, Seifedine; Taniar, David et al.
Proceedings of 2021 IEEE 7th International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021. Institute of Electrical and Electronics Engineers Inc., 2021. 9445166 (Proceedings of 2021 IEEE 7th International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Breast-Cancer Detection using Thermal Images with Marine-Predators-Algorithm Selected Features

AU - Rajinikanth, Venkatesan

AU - Kadry, Seifedine

AU - Taniar, David

AU - Damasevicius, Robertas

AU - Rauf, Hafiz Tayyab

PY - 2021/3/25

Y1 - 2021/3/25

N2 - Breast-cancer (BC) is one of the major diseases in women group and the early diagnosis and treatment is necessary to cure the disease. Early detection of BC is very essential to implement appropriate treatment and the proposed research aims to develop an automated BC detection system using Breast-Thermal-Images (BTI). The executed approach is as follows; (i) Recording the image for various breast orientation, (ii) Extracting the healthy/DCIS image patches, (iii) Treating the patches with image processing scheme, (iv) Feature extraction, (v) Feature optimization with Marine-Predators-Algorithm (MPA), and (vi) Two-class classification and validation. In this work, the essential image features, such as GLCM and LBP with varied weights are considered to classify the clinically collected BTI into healthy/DCIS class using a chosen two-class classifier. The result of this study confirms that the Decision-Tree (DT) classifier helps to achieve enhanced accuracy (>92%) compared to other methods adopted in this research.

AB - Breast-cancer (BC) is one of the major diseases in women group and the early diagnosis and treatment is necessary to cure the disease. Early detection of BC is very essential to implement appropriate treatment and the proposed research aims to develop an automated BC detection system using Breast-Thermal-Images (BTI). The executed approach is as follows; (i) Recording the image for various breast orientation, (ii) Extracting the healthy/DCIS image patches, (iii) Treating the patches with image processing scheme, (iv) Feature extraction, (v) Feature optimization with Marine-Predators-Algorithm (MPA), and (vi) Two-class classification and validation. In this work, the essential image features, such as GLCM and LBP with varied weights are considered to classify the clinically collected BTI into healthy/DCIS class using a chosen two-class classifier. The result of this study confirms that the Decision-Tree (DT) classifier helps to achieve enhanced accuracy (>92%) compared to other methods adopted in this research.

KW - Breast cancer

KW - Classification

KW - GLCM

KW - LBP

KW - Marine-Predators-Algorithm

KW - Thermal image

UR - https://www.scopus.com/pages/publications/85107967640

U2 - 10.1109/ICBSII51839.2021.9445166

DO - 10.1109/ICBSII51839.2021.9445166

M3 - Conference contribution

AN - SCOPUS:85107967640

T3 - Proceedings of 2021 IEEE 7th International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021

BT - Proceedings of 2021 IEEE 7th International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 7th IEEE International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021

Y2 - 25 March 2021 through 27 March 2021

ER -

Rajinikanth V, Kadry S, Taniar D, Damasevicius R, Rauf HT. Breast-Cancer Detection using Thermal Images with Marine-Predators-Algorithm Selected Features. In Proceedings of 2021 IEEE 7th International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021. Institute of Electrical and Electronics Engineers Inc. 2021. 9445166. (Proceedings of 2021 IEEE 7th International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021). doi: 10.1109/ICBSII51839.2021.9445166

Breast-Cancer Detection using Thermal Images with Marine-Predators-Algorithm Selected Features

Abstract

Publication series

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UN SDGs

Keywords

Access to Document

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