Rule based classification of sputum images for early lung cancer detection

Fatma Taher; Naoufel Werghi; Hussain Al-Ahmad

doi:10.1109/ICECS.2015.7440241

Rule based classification of sputum images for early lung cancer detection

Fatma Taher
, Naoufel Werghi
, Hussain Al-Ahmad

Electrical Engineering

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

16 Scopus citations

Abstract

Lung cancer is one of the most serious diseases in the world with the smallest survival rate after diagnosis, and with a progressive increase in the number of deaths each year. Survival from lung cancer is directly related to its growth at its detection time. The early detection and treatment of lung cancer can greatly improve the survival rate of patients. We attempt to develop a computer aided diagnosis (CAD) system for early detection of lung cancer based on the analysis of the sputum color images. We need to resolve several problems to complete the development of such system. Classification is one of the important problems to be considered. In this paper, we present a feature extraction process followed by a rule based classification technique to classify the sputum cell into cancerous or normal cell. We used 100 sputum color images to test the rule based method. The performance criteria such as sensitivity, precision, specificity and accuracy were used to evaluate the proposed techniques. The evaluation demonstrated the advantages of the new technique.

Original language	British English
Title of host publication	2015 IEEE International Conference on Electronics, Circuits, and Systems, ICECS 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	29-32
Number of pages	4
ISBN (Electronic)	9781509002467
DOIs	https://doi.org/10.1109/ICECS.2015.7440241
State	Published - 23 Mar 2016
Event	IEEE International Conference on Electronics, Circuits, and Systems, ICECS 2015 - Cairo, Egypt Duration: 6 Dec 2015 → 9 Dec 2015

Publication series

Name	Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems
Volume	2016-March

Conference

Conference	IEEE International Conference on Electronics, Circuits, and Systems, ICECS 2015
Country/Territory	Egypt
City	Cairo
Period	6/12/15 → 9/12/15

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

classification
feature extraction
Lung cancer
rule based
sputum images

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10.1109/ICECS.2015.7440241

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Taher, F., Werghi, N., & Al-Ahmad, H. (2016). Rule based classification of sputum images for early lung cancer detection. In 2015 IEEE International Conference on Electronics, Circuits, and Systems, ICECS 2015 (pp. 29-32). Article 7440241 (Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems; Vol. 2016-March). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICECS.2015.7440241

Taher, Fatma ; Werghi, Naoufel ; Al-Ahmad, Hussain. / Rule based classification of sputum images for early lung cancer detection. 2015 IEEE International Conference on Electronics, Circuits, and Systems, ICECS 2015. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 29-32 (Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems).

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title = "Rule based classification of sputum images for early lung cancer detection",

abstract = "Lung cancer is one of the most serious diseases in the world with the smallest survival rate after diagnosis, and with a progressive increase in the number of deaths each year. Survival from lung cancer is directly related to its growth at its detection time. The early detection and treatment of lung cancer can greatly improve the survival rate of patients. We attempt to develop a computer aided diagnosis (CAD) system for early detection of lung cancer based on the analysis of the sputum color images. We need to resolve several problems to complete the development of such system. Classification is one of the important problems to be considered. In this paper, we present a feature extraction process followed by a rule based classification technique to classify the sputum cell into cancerous or normal cell. We used 100 sputum color images to test the rule based method. The performance criteria such as sensitivity, precision, specificity and accuracy were used to evaluate the proposed techniques. The evaluation demonstrated the advantages of the new technique.",

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author = "Fatma Taher and Naoufel Werghi and Hussain Al-Ahmad",

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Taher, F, Werghi, N & Al-Ahmad, H 2016, Rule based classification of sputum images for early lung cancer detection. in 2015 IEEE International Conference on Electronics, Circuits, and Systems, ICECS 2015., 7440241, Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems, vol. 2016-March, Institute of Electrical and Electronics Engineers Inc., pp. 29-32, IEEE International Conference on Electronics, Circuits, and Systems, ICECS 2015, Cairo, Egypt, 6/12/15. https://doi.org/10.1109/ICECS.2015.7440241

Rule based classification of sputum images for early lung cancer detection. / Taher, Fatma; Werghi, Naoufel; Al-Ahmad, Hussain.
2015 IEEE International Conference on Electronics, Circuits, and Systems, ICECS 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 29-32 7440241 (Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems; Vol. 2016-March).

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

TY - GEN

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AU - Taher, Fatma

AU - Werghi, Naoufel

AU - Al-Ahmad, Hussain

PY - 2016/3/23

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N2 - Lung cancer is one of the most serious diseases in the world with the smallest survival rate after diagnosis, and with a progressive increase in the number of deaths each year. Survival from lung cancer is directly related to its growth at its detection time. The early detection and treatment of lung cancer can greatly improve the survival rate of patients. We attempt to develop a computer aided diagnosis (CAD) system for early detection of lung cancer based on the analysis of the sputum color images. We need to resolve several problems to complete the development of such system. Classification is one of the important problems to be considered. In this paper, we present a feature extraction process followed by a rule based classification technique to classify the sputum cell into cancerous or normal cell. We used 100 sputum color images to test the rule based method. The performance criteria such as sensitivity, precision, specificity and accuracy were used to evaluate the proposed techniques. The evaluation demonstrated the advantages of the new technique.

AB - Lung cancer is one of the most serious diseases in the world with the smallest survival rate after diagnosis, and with a progressive increase in the number of deaths each year. Survival from lung cancer is directly related to its growth at its detection time. The early detection and treatment of lung cancer can greatly improve the survival rate of patients. We attempt to develop a computer aided diagnosis (CAD) system for early detection of lung cancer based on the analysis of the sputum color images. We need to resolve several problems to complete the development of such system. Classification is one of the important problems to be considered. In this paper, we present a feature extraction process followed by a rule based classification technique to classify the sputum cell into cancerous or normal cell. We used 100 sputum color images to test the rule based method. The performance criteria such as sensitivity, precision, specificity and accuracy were used to evaluate the proposed techniques. The evaluation demonstrated the advantages of the new technique.

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KW - feature extraction

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Taher F, Werghi N, Al-Ahmad H. Rule based classification of sputum images for early lung cancer detection. In 2015 IEEE International Conference on Electronics, Circuits, and Systems, ICECS 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 29-32. 7440241. (Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems). doi: 10.1109/ICECS.2015.7440241

Rule based classification of sputum images for early lung cancer detection

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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