Breast Cancer Detection from Thermography Based on Deep Neural Networks

Seyfullah Kiymet; Muhammet Yavuz Aslankaya; Murat Taskiran; Bulent Bolat

doi:10.1109/ASYU48272.2019.8946367

Breast Cancer Detection from Thermography Based on Deep Neural Networks

Seyfullah Kiymet, Muhammet Yavuz Aslankaya, Murat Taskiran, Bulent Bolat

Yildiz Technical University

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

24 Citations (Scopus)

Abstract

Breast cancer is one of the most common types of cancer that affects more than 15% of women throughout their lives. Early detection of this type of cancer is crucial for the positive outcome of the treatment process. There are several screening methods for the detection of breast cancer. In this study, a new method based on thermal imaging is proposed for the detection of breast cancer. Four deep learning networks that were successful in object recognition competitions in recent years were used for breast cancer detection from thermographic breast images and as a result of experimental studies, ResNet50 network achieved the highest test performance in detection of breast cancer by 88.89%. This study demonstrated the applicability of deep learning networks in breast cancer detection.

Original language	English
Title of host publication	Proceedings - 2019 Innovations in Intelligent Systems and Applications Conference, ASYU 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728128689
DOIs	https://doi.org/10.1109/ASYU48272.2019.8946367
Publication status	Published - Oct 2019
Externally published	Yes
Event	2019 Innovations in Intelligent Systems and Applications Conference, ASYU 2019 - Izmir, Turkey Duration: 31 Oct 2019 → 2 Nov 2019

Publication series

Name	Proceedings - 2019 Innovations in Intelligent Systems and Applications Conference, ASYU 2019

Conference

Conference	2019 Innovations in Intelligent Systems and Applications Conference, ASYU 2019
Country/Territory	Turkey
City	Izmir
Period	31/10/19 → 2/11/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

breast cancer detection
deep neural networks
image processing
logistic regression
thermography

UN SDGs

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

Access to Document

10.1109/ASYU48272.2019.8946367

Cite this

Kiymet, S., Aslankaya, M. Y., Taskiran, M., & Bolat, B. (2019). Breast Cancer Detection from Thermography Based on Deep Neural Networks. In Proceedings - 2019 Innovations in Intelligent Systems and Applications Conference, ASYU 2019 Article 8946367 (Proceedings - 2019 Innovations in Intelligent Systems and Applications Conference, ASYU 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ASYU48272.2019.8946367

Kiymet, Seyfullah ; Aslankaya, Muhammet Yavuz ; Taskiran, Murat et al. / Breast Cancer Detection from Thermography Based on Deep Neural Networks. Proceedings - 2019 Innovations in Intelligent Systems and Applications Conference, ASYU 2019. Institute of Electrical and Electronics Engineers Inc., 2019. (Proceedings - 2019 Innovations in Intelligent Systems and Applications Conference, ASYU 2019).

@inproceedings{31db2c6ccf6f404f814be443802d86ec,

title = "Breast Cancer Detection from Thermography Based on Deep Neural Networks",

abstract = "Breast cancer is one of the most common types of cancer that affects more than 15% of women throughout their lives. Early detection of this type of cancer is crucial for the positive outcome of the treatment process. There are several screening methods for the detection of breast cancer. In this study, a new method based on thermal imaging is proposed for the detection of breast cancer. Four deep learning networks that were successful in object recognition competitions in recent years were used for breast cancer detection from thermographic breast images and as a result of experimental studies, ResNet50 network achieved the highest test performance in detection of breast cancer by 88.89%. This study demonstrated the applicability of deep learning networks in breast cancer detection.",

keywords = "breast cancer detection, deep neural networks, image processing, logistic regression, thermography",

author = "Seyfullah Kiymet and Aslankaya, {Muhammet Yavuz} and Murat Taskiran and Bulent Bolat",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 Innovations in Intelligent Systems and Applications Conference, ASYU 2019 ; Conference date: 31-10-2019 Through 02-11-2019",

year = "2019",

month = oct,

doi = "10.1109/ASYU48272.2019.8946367",

language = "English",

series = "Proceedings - 2019 Innovations in Intelligent Systems and Applications Conference, ASYU 2019",

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

booktitle = "Proceedings - 2019 Innovations in Intelligent Systems and Applications Conference, ASYU 2019",

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Kiymet, S, Aslankaya, MY, Taskiran, M & Bolat, B 2019, Breast Cancer Detection from Thermography Based on Deep Neural Networks. in Proceedings - 2019 Innovations in Intelligent Systems and Applications Conference, ASYU 2019., 8946367, Proceedings - 2019 Innovations in Intelligent Systems and Applications Conference, ASYU 2019, Institute of Electrical and Electronics Engineers Inc., 2019 Innovations in Intelligent Systems and Applications Conference, ASYU 2019, Izmir, Turkey, 31/10/19. https://doi.org/10.1109/ASYU48272.2019.8946367

Breast Cancer Detection from Thermography Based on Deep Neural Networks. / Kiymet, Seyfullah; Aslankaya, Muhammet Yavuz; Taskiran, Murat et al.
Proceedings - 2019 Innovations in Intelligent Systems and Applications Conference, ASYU 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8946367 (Proceedings - 2019 Innovations in Intelligent Systems and Applications Conference, ASYU 2019).

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

TY - GEN

T1 - Breast Cancer Detection from Thermography Based on Deep Neural Networks

AU - Kiymet, Seyfullah

AU - Aslankaya, Muhammet Yavuz

AU - Taskiran, Murat

AU - Bolat, Bulent

PY - 2019/10

Y1 - 2019/10

N2 - Breast cancer is one of the most common types of cancer that affects more than 15% of women throughout their lives. Early detection of this type of cancer is crucial for the positive outcome of the treatment process. There are several screening methods for the detection of breast cancer. In this study, a new method based on thermal imaging is proposed for the detection of breast cancer. Four deep learning networks that were successful in object recognition competitions in recent years were used for breast cancer detection from thermographic breast images and as a result of experimental studies, ResNet50 network achieved the highest test performance in detection of breast cancer by 88.89%. This study demonstrated the applicability of deep learning networks in breast cancer detection.

AB - Breast cancer is one of the most common types of cancer that affects more than 15% of women throughout their lives. Early detection of this type of cancer is crucial for the positive outcome of the treatment process. There are several screening methods for the detection of breast cancer. In this study, a new method based on thermal imaging is proposed for the detection of breast cancer. Four deep learning networks that were successful in object recognition competitions in recent years were used for breast cancer detection from thermographic breast images and as a result of experimental studies, ResNet50 network achieved the highest test performance in detection of breast cancer by 88.89%. This study demonstrated the applicability of deep learning networks in breast cancer detection.

KW - breast cancer detection

KW - deep neural networks

KW - image processing

KW - logistic regression

KW - thermography

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M3 - Conference contribution

AN - SCOPUS:85078510322

T3 - Proceedings - 2019 Innovations in Intelligent Systems and Applications Conference, ASYU 2019

BT - Proceedings - 2019 Innovations in Intelligent Systems and Applications Conference, ASYU 2019

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 31 October 2019 through 2 November 2019

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Kiymet S, Aslankaya MY, Taskiran M, Bolat B. Breast Cancer Detection from Thermography Based on Deep Neural Networks. In Proceedings - 2019 Innovations in Intelligent Systems and Applications Conference, ASYU 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8946367. (Proceedings - 2019 Innovations in Intelligent Systems and Applications Conference, ASYU 2019). doi: 10.1109/ASYU48272.2019.8946367

Breast Cancer Detection from Thermography Based on Deep Neural Networks

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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