Support Vector Machine Algorithm for Clinical Microwave Breast Cancer Screening and Early Detection

Aleksandar Janjic; Ibrahim Akduman; Mehmet Cayoren; Onur Bugdayci; Mustafa Erkin Aribal

doi:10.1109/CAMA57522.2023.10352751

Support Vector Machine Algorithm for Clinical Microwave Breast Cancer Screening and Early Detection

Aleksandar Janjic^*, Ibrahim Akduman, Mehmet Cayoren, Onur Bugdayci, Mustafa Erkin Aribal

^*Corresponding author for this work

Department of Electronics and Communication Engineering

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

Abstract

In this work, it is presented clinical results for the detection and classification of breast cancer through the microwave imaging device SAFE. SAFE uses novel corrugated Vivaldi antennas to collect data in the frequency range of 0.5-8 GHz. For the classification Support Vector Machine Algorithm is used. It has been shown that the method achieves the sensitivity, specificity, and accuracy of 95%, 92%, and 93%, respectively.

Original language	English
Title of host publication	2023 IEEE Conference on Antenna Measurements and Applications, CAMA 2023
Publisher	Institute of Electrical and Electronics Engineers
Pages	344-346
Number of pages	3
ISBN (Electronic)	9798350323047
DOIs	https://doi.org/10.1109/CAMA57522.2023.10352751
Publication status	Published - 2023
Event	2023 IEEE Conference on Antenna Measurements and Applications, CAMA 2023 - Genoa, Italy Duration: 15 Nov 2023 → 17 Nov 2023

Publication series

Name	IEEE Conference on Antenna Measurements and Applications, CAMA
ISSN (Print)	2474-1760
ISSN (Electronic)	2643-6795

Conference

Conference	2023 IEEE Conference on Antenna Measurements and Applications, CAMA 2023
Country/Territory	Italy
City	Genoa
Period	15/11/23 → 17/11/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

Breast Cancer
Machine Learning
Microwave Imaging

UN SDGs

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

Access to Document

10.1109/CAMA57522.2023.10352751

Cite this

Janjic, A., Akduman, I., Cayoren, M., Bugdayci, O., & Aribal, M. E. (2023). Support Vector Machine Algorithm for Clinical Microwave Breast Cancer Screening and Early Detection. In 2023 IEEE Conference on Antenna Measurements and Applications, CAMA 2023 (pp. 344-346). (IEEE Conference on Antenna Measurements and Applications, CAMA). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CAMA57522.2023.10352751

Janjic, Aleksandar ; Akduman, Ibrahim ; Cayoren, Mehmet et al. / Support Vector Machine Algorithm for Clinical Microwave Breast Cancer Screening and Early Detection. 2023 IEEE Conference on Antenna Measurements and Applications, CAMA 2023. Institute of Electrical and Electronics Engineers, 2023. pp. 344-346 (IEEE Conference on Antenna Measurements and Applications, CAMA).

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title = "Support Vector Machine Algorithm for Clinical Microwave Breast Cancer Screening and Early Detection",

abstract = "In this work, it is presented clinical results for the detection and classification of breast cancer through the microwave imaging device SAFE. SAFE uses novel corrugated Vivaldi antennas to collect data in the frequency range of 0.5-8 GHz. For the classification Support Vector Machine Algorithm is used. It has been shown that the method achieves the sensitivity, specificity, and accuracy of 95%, 92%, and 93%, respectively.",

keywords = "Breast Cancer, Machine Learning, Microwave Imaging",

author = "Aleksandar Janjic and Ibrahim Akduman and Mehmet Cayoren and Onur Bugdayci and Aribal, {Mustafa Erkin}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Conference on Antenna Measurements and Applications, CAMA 2023 ; Conference date: 15-11-2023 Through 17-11-2023",

year = "2023",

doi = "10.1109/CAMA57522.2023.10352751",

language = "English",

series = "IEEE Conference on Antenna Measurements and Applications, CAMA",

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Janjic, A, Akduman, I , Cayoren, M, Bugdayci, O & Aribal, ME 2023, Support Vector Machine Algorithm for Clinical Microwave Breast Cancer Screening and Early Detection. in 2023 IEEE Conference on Antenna Measurements and Applications, CAMA 2023. IEEE Conference on Antenna Measurements and Applications, CAMA, Institute of Electrical and Electronics Engineers, pp. 344-346, 2023 IEEE Conference on Antenna Measurements and Applications, CAMA 2023, Genoa, Italy, 15/11/23. https://doi.org/10.1109/CAMA57522.2023.10352751

Support Vector Machine Algorithm for Clinical Microwave Breast Cancer Screening and Early Detection. / Janjic, Aleksandar; Akduman, Ibrahim ; Cayoren, Mehmet et al.
2023 IEEE Conference on Antenna Measurements and Applications, CAMA 2023. Institute of Electrical and Electronics Engineers, 2023. p. 344-346 (IEEE Conference on Antenna Measurements and Applications, CAMA).

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

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T1 - Support Vector Machine Algorithm for Clinical Microwave Breast Cancer Screening and Early Detection

AU - Janjic, Aleksandar

AU - Akduman, Ibrahim

AU - Cayoren, Mehmet

AU - Bugdayci, Onur

AU - Aribal, Mustafa Erkin

PY - 2023

Y1 - 2023

N2 - In this work, it is presented clinical results for the detection and classification of breast cancer through the microwave imaging device SAFE. SAFE uses novel corrugated Vivaldi antennas to collect data in the frequency range of 0.5-8 GHz. For the classification Support Vector Machine Algorithm is used. It has been shown that the method achieves the sensitivity, specificity, and accuracy of 95%, 92%, and 93%, respectively.

AB - In this work, it is presented clinical results for the detection and classification of breast cancer through the microwave imaging device SAFE. SAFE uses novel corrugated Vivaldi antennas to collect data in the frequency range of 0.5-8 GHz. For the classification Support Vector Machine Algorithm is used. It has been shown that the method achieves the sensitivity, specificity, and accuracy of 95%, 92%, and 93%, respectively.

KW - Breast Cancer

KW - Machine Learning

KW - Microwave Imaging

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DO - 10.1109/CAMA57522.2023.10352751

M3 - Conference contribution

AN - SCOPUS:85182262024

T3 - IEEE Conference on Antenna Measurements and Applications, CAMA

SP - 344

EP - 346

BT - 2023 IEEE Conference on Antenna Measurements and Applications, CAMA 2023

PB - Institute of Electrical and Electronics Engineers

T2 - 2023 IEEE Conference on Antenna Measurements and Applications, CAMA 2023

Y2 - 15 November 2023 through 17 November 2023

ER -

Janjic A, Akduman I , Cayoren M, Bugdayci O, Aribal ME. Support Vector Machine Algorithm for Clinical Microwave Breast Cancer Screening and Early Detection. In 2023 IEEE Conference on Antenna Measurements and Applications, CAMA 2023. Institute of Electrical and Electronics Engineers. 2023. p. 344-346. (IEEE Conference on Antenna Measurements and Applications, CAMA). doi: 10.1109/CAMA57522.2023.10352751

Support Vector Machine Algorithm for Clinical Microwave Breast Cancer Screening and Early Detection

Abstract

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Bibliographical note

Keywords

UN SDGs

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