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Analysis of Computational Methods for Diagnosis of Cervical Cancer – A Review |
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PP: 795-809 |
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doi:10.18576/amis/180412
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Author(s) |
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T. Senthil Kumar,
P. Rajendran,
N. Santhiyakumari,
S. Kumarganesh,
L. Mohana Sundari,
S. Elango,
Mahaboob Basha Shaik,
K. Martin Sagayam,
Hatıra Gunerhan,
Homan Emadifar,
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Abstract |
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| 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. |
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