Cervical cancer is caused by the growth of abnormal cells in the cervix’s lining. Human papillomavirus (HPV), a sexually transmitted infection, plays a role in most cervical cancers. Therefore, cervical cancer can be avoided by having regular screenings and being vaccinated against HPV infection. The term pap-smear refers to human cell samples stained using the Papanicolaou method. The Papanicolaou method is used to detect precancerous cell changes before they become invasive cancer. The smear cell image is composed of a nucleus and cytoplasm. Cancer prevalence is determined by the shape and structure of the nucleus. Therefore, the segmentation of the nucleus is an essential step in detecting cancer. However, overlapping, poor contrast, uneven staining, and other factors make cervical nucleus segmentation difficult. This paper proposes a new segmentation method for the cervical nucleus using digital image processing. Our proposed method used a median filter to remove noise and a non-linear contrast stretching to enhance the Pap smear images. Then, we used Bradley thresholding for the segmented cervical nucleus. The main impact of this paper will assist doctors in diagnosing cervical cancer based on Pap smear images and increase the accuracy percentages compared to the conventional method.
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7 March 2024
2ND INTERNATIONAL CONFERENCE ON SCIENCE, ENGINEERING & TECHNOLOGY (ICSET 22)
6–7 July 2022
Arau, Malaysia
Research Article|
March 07 2024
Nucleus segmentation in pap smear images using image processing techniques
Mohammad Alslatie;
Mohammad Alslatie
1
The Institute of Biomedical Technology, King Hussein Medical Center, Royal Jordanian Medical Service
, Amman, 11855, Jordan
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Hiam Alquran;
Hiam Alquran
2
Biomedical Systems and Medical Informatics Engineering, Yarmouk University
, 21163 Irbid, Jordan
3
Department of Biomedical Engineering, Jordan University of Science and Technology
, 22110 Irbid, Jordan
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Wan Azani Mustafa;
Wan Azani Mustafa
a)
4
Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis
, Campus Pauh Putra, 02600 Arau, Perlis, Malaysia
5
Advanced Computing (AdvComp), Centre of Excellence (CoE), Universiti Malaysia Perlis (UniMAP)
, Campus Pauh Putra, 02600 Arau, Perlis, Malaysia
a)Corresponding author: [email protected]
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Mohammed Mansour Naser;
Mohammed Mansour Naser
3
Department of Biomedical Engineering, Jordan University of Science and Technology
, 22110 Irbid, Jordan
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Yasmin Mohd Yacob
Yasmin Mohd Yacob
6
Faculty of Electronic Engineering Technology, Universiti Malaysia Perlis
, Campus Pauh Putra, 02600 Arau, Perlis, Malaysia
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a)Corresponding author: [email protected]
AIP Conf. Proc. 2934, 040004 (2024)
Citation
Mohammad Alslatie, Hiam Alquran, Wan Azani Mustafa, Mohammed Mansour Naser, Yasmin Mohd Yacob; Nucleus segmentation in pap smear images using image processing techniques. AIP Conf. Proc. 7 March 2024; 2934 (1): 040004. https://doi.org/10.1063/5.0180675
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