OVERVIEW  OF ARTIFICIAL INTELLIGENCE  IN CERVICAL CANCER SCREENING BY CYTOLOGY

Nghiêm Chí Cương; Hà Hải Bằng; Nguyễn Đức Trường; Lương Thị Mỹ Hạnh

doi:10.34238/tnu-jst.4872

OVERVIEW OF ARTIFICIAL INTELLIGENCE IN CERVICAL CANCER SCREENING BY CYTOLOGY

About this article

Received: 09/08/21 Revised: 20/09/21 Published: 06/10/21

Authors

1. Nghiem Chi Cuong , Hospital A Thai Nguyen
2. Ha Hai Bang, Hospital A Thai Nguyen
3. Nguyen Duc Truong, Hospital A Thai Nguyen
4. Luong Thi My Hanh, Nagasaki University

Abstract

Artificial intelligence has been developing strongly and achieving impressive results in analyzing complex images. Today it is widely applied in many fields, especially in the medical field. In the world, the application of artificial intelligence in the field of cervical cytology has been studied and applied since 1996, but in Vietnam it is still very new. The article gives an overview of the effectiveness of artificial intelligence in the field of cervical cytology which has been researched and published in prestigious international journals. Two databases Herlev and SIPaKMeD are among the free datasets used by many studies. Applications of deep learning and computer vision are new algorithms that can effectively solve the problem of identifying and classifying cervical cells. The Thinprep imaging system is still the dominant product in the market, but the high cost remains the biggest obstacle. In Vietnam, the research and application of artificial intelligence in Cervical Cytology is a very potential field, but more in-depth and large-scale studies are needed.

Keywords

Articfical intelligent in cervical cytology; Machine learning in cervical cytology; Deep learning in cervical cytology; Dataset of cervical cytology; Articfical intelligent in cytology

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DOI: https://doi.org/10.34238/tnu-jst.4872

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