EN
Detection of Cervix Cancer from Pap-smear Images
Abstract
Pap-smear test is used to detect cervical cancer, which ranks fourth in the ranking of cancer diseases in women worldwide. In this study, it is aimed to design a computer based decision system that can detect cervical cancer at an early stage. Normal and abnormal cells are found in the cervix images obtained as a result of the pap-smear test and the abnormal cells are marked on the image. The features extracted from the images were examined with pathologists and a dataset was created. For each of the 917 images in the Herlev dataset, these features were extracted and stored in a dataset. Support Vector Machines (SVM), Naive Bayes, Random Forest (RF), Multilayer Perceptron (MLP), Logistic Regression (LR), K- Nearest Neighbor (KNN) methods were applied to the created dataset, and accuracy values between 83% and 92% were obtained.
Keywords
Thanks
Bu çalışmada rahim ağzı kanseri ve hastalığın teşhisi hakkında bilgi veren İstanbul Zeynep Kâmil Kadın ve Çocuk Hastalıkları Eğitim ve Araştırma Hastanesi Patoloji Bölümü’ne teşekkür ederim.
References
- "National Institutes of Health homepage", 2020. [Online]. Available: https://www.cancer.gov/about-cancer/understanding/what-is-cancer). [Accessed: 01-Feb-2020].
- Cancer Today, "Global Cancer Observatory homepage", 2018. [Online]. Available: http://gco.iarc.fr/today/online-analysis-table. [Accessed: 02-Feb-2020].
- DB. Cooper, C.E. McCathran, "Cervical Dysplasia", StatPearls [Internet]. StatPearls Publishing, 2019.
- RJ. Kurman, D. Solomon, The Bethesda System for Reporting Cervical/Vaginal Cytologic Diagnoses. New York: Springer-Verlag, 1994.
- S.E. Waggoner, "Cervical cancer", The Lancet, vol. 361, no. 9376, pp. 2217-2225, 2003.
- T. Bilal, J. Dias, and N. Werghi, "Classification of cervical-cancer using pap-smear images: a convolutional neural network approach", Annual Conference on Medical Image Understanding and Analysis, Springer, Cham, 2017.
- M.E. Plissiti, N. Christophoros, and A. Charchanti, "Automated detection of cell nuclei in pap smear images using morphological reconstruction and clustering", IEEE Transactions on information technology in biomedicine, vol. 15, no.2, pp. 233-241, 2010.
- P. Wang, L. Wang, Y. Li, Q. Song, S. Lv, X. Hu, “Automatic cell nuclei segmentation and classification of cervical Pap smear images”, Biomedical Signal Processing and Control, vol. 48, pp. 93-103, 2019.
Details
Primary Language
English
Subjects
Artificial Intelligence
Journal Section
Research Article
Publication Date
August 28, 2020
Submission Date
April 18, 2020
Acceptance Date
May 21, 2020
Published in Issue
Year 1970 Volume: 3 Number: 2
APA
Akyol, F. B., & Altun, O. (2020). Detection of Cervix Cancer from Pap-smear Images. Sakarya University Journal of Computer and Information Sciences, 3(2), 99-111. https://doi.org/10.35377/saucis.03.02.722670
AMA
1.Akyol FB, Altun O. Detection of Cervix Cancer from Pap-smear Images. SAUCIS. 2020;3(2):99-111. doi:10.35377/saucis.03.02.722670
Chicago
Akyol, Fatma Betül, and Oğuz Altun. 2020. “Detection of Cervix Cancer from Pap-Smear Images”. Sakarya University Journal of Computer and Information Sciences 3 (2): 99-111. https://doi.org/10.35377/saucis.03.02.722670.
EndNote
Akyol FB, Altun O (August 1, 2020) Detection of Cervix Cancer from Pap-smear Images. Sakarya University Journal of Computer and Information Sciences 3 2 99–111.
IEEE
[1]F. B. Akyol and O. Altun, “Detection of Cervix Cancer from Pap-smear Images”, SAUCIS, vol. 3, no. 2, pp. 99–111, Aug. 2020, doi: 10.35377/saucis.03.02.722670.
ISNAD
Akyol, Fatma Betül - Altun, Oğuz. “Detection of Cervix Cancer from Pap-Smear Images”. Sakarya University Journal of Computer and Information Sciences 3/2 (August 1, 2020): 99-111. https://doi.org/10.35377/saucis.03.02.722670.
JAMA
1.Akyol FB, Altun O. Detection of Cervix Cancer from Pap-smear Images. SAUCIS. 2020;3:99–111.
MLA
Akyol, Fatma Betül, and Oğuz Altun. “Detection of Cervix Cancer from Pap-Smear Images”. Sakarya University Journal of Computer and Information Sciences, vol. 3, no. 2, Aug. 2020, pp. 99-111, doi:10.35377/saucis.03.02.722670.
Vancouver
1.Fatma Betül Akyol, Oğuz Altun. Detection of Cervix Cancer from Pap-smear Images. SAUCIS. 2020 Aug. 1;3(2):99-111. doi:10.35377/saucis.03.02.722670
Cited By
Derin öğrenme temelli nesne tespiti algoritmaları kullanılarak kişiye özgü reklam sunulması
Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi
https://doi.org/10.25092/baunfbed.878224A Deep Neural Network for Cervical Cell Classification Based on Cytology Images
IEEE Access
https://doi.org/10.1109/ACCESS.2022.3230280Cervical Cancer Prediction Using SMOTE Algorithm and Machine Learning Approaches
Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi
https://doi.org/10.21597/jist.1222764Deep learning-based approaches for robust classification of cervical cancer
Neural Computing and Applications
https://doi.org/10.1007/s00521-023-08757-w
