Analysis of Computational Methods for Diagnosis of Cervical Cancer – A Review
Yazarlar (10)
T. Senthil Kumar
P. Rajendran
N. Santhiya Kumari
S. Kumarganesh
L. Mohana Sundari
S. Elango
Mahaboob Basha Shaik
K. Martin Sagayam
Doç. Dr. Hatıra GÜNERHAN Kafkas Üniversitesi, Türkiye
Homan Emadifar
| Makale Türü |
Özgün Makale
(SCOPUS dergilerinde yayınlanan tam makale)
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| Dergi Adı | Applied Mathematics & Information Sciences | ||
| Dergi ISSN | 1935-0090 | ||
| Dergi Tarandığı Indeksler | Scopus | ||
| Makale Dili | Türkçe | Basım Tarihi | 07-2024 |
| Cilt / Sayı / Sayfa | 18 / 4 / 795–809 | DOI | 10.18576/amis/180412 |
| Makale Linki | https://doi.org/10.18576/amis/180412 | ||
| UAK Araştırma Alanları |
Uygulamalı Matematik
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| Özet |
| The PAP test, a simple screening method, detects cervical cancer early, preventing fatality. Uterine, cervical, and fallopian tube cancers are common among women, making prevention vital. Despite over 60 years since its inception, attempts to automate this process have aimed at saving time and costs. Automated cell sample screening, available since 2000, minimally impacted screening expenses. Cervical cancer is a leading cause of death in poor nations, but technological advancements enable faster, cost-effective screening and treatment. However, screening procedures may still be cumbersome, especially in low-income countries. This study reviews current screening methods and introduces computational techniques for cervical cell analysis, including automated quality assessment, segmentation, and classification, addressing practical challenges. |
| Anahtar Kelimeler |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Google Scholar | 3 |