A literature survey of automated detection of cervical cancer cell in Pap smear images

Devi, N. Lavanya; Thirumurugan, P.

doi:10.1504/wrstsd.2022.119330

Cited by 4 publications

(3 citation statements)

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“…Cervical cancer is among the death causes within cancer patients and among the leading causes of gynecologic cancer, despite being treatable if identified earlier. These cancer cells can potentially be transmitted to other critical organs, for instance, the bladder, liver, and lungs, further complicating the situation [10,11]. Early detection and categorization of cervical lesions enhance patients' chances of effective treatment, and automated detection and categorizing of cervical lesions using Pap smear images are becoming quite prevalent [12].…”

Section: Introductionmentioning

confidence: 99%

“…Early detection and categorization of cervical lesions enhance patients' chances of effective treatment, and automated detection and categorizing of cervical lesions using Pap smear images are becoming quite prevalent [12]. Note that this test could detect pre-cancer in the uterine cervix [11,13]. The most popular screening mechanisms for the cervical lesion are the visual inspection and Pap smear test with acetic acid to categorize the cervical cells as normal, precancerous, or cancerous, as shown in Figure 1 [14,15].…”

Section: Introductionmentioning

confidence: 99%

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Pap Smear Image Analysis Based on Nucleus Segmentation and Deep Learning – A Recent Review

Alias

Mustafa

Jamlos

et al. 2023

ARASET

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Cervical cancer refers to a dangerous and common illness that impacts women worldwide. Moreover, this cancer affects over 300,000 people each year, with one woman diagnosed every minute. It affects over 0.5 million women annually, leading to over 0.3 million deaths. Recently, considerable literature has grown around developing technologies to detect cervical cancer cells in women. Previously, a cervical cancer diagnosis was made manually, which may result in a false positive or negative. Automated detection of cervical cancer and analysis method of the Papanicolaou (Pap) smear images are still debated among researchers. Thus, this paper reviewed several studies related to the detection method of Pap smear images focusing on Nuclei Segmentation and Deep Learning (DL) from the publication year of 2020, 2021, and 2022. Training, validation, and testing stages have all been the subject of study. However, there are still inadequacies in the current methodologies that have caused limitations to the proposed approaches by researchers. This study may inspire other researchers to view the proposed methods' potential and provide a decent foundation for developing and implementing new solutions.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Pap Smear Image Analysis Based on Nucleus Segmentation and Deep Learning – A Recent Review

Alias

Mustafa

Jamlos

et al. 2023

ARASET

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“…A Pap smear test is an easy screening method to evaluate infection and investigate the pre-cancer changes and cervical cancer (11,12). It is an effective way to prevent cervical cancer development and a noninvasive, simple, easy, and cost-effective way to detect precancerous lesions (13). In communities with active screening programs, the death rate caused by this cancer has decreased by 40% in the past thirty years.…”

Section: Introductionmentioning

confidence: 99%

What is the effect of vitamin D deficiency on Pap smear test results in the postmenopausal period?

MADENLİ>¹,

ÖZ>²,

DEMİRÇİVİ³

2023

J Exp Clin Med

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This study aimed to determine the impact of vitamin D deficiency on Pap smear test results in women in the postmenopausal period. This cross-sectional study included 394 women who applied to İstanbul Medeniyet University, Göztepe Training and Research Hospital gynecology and obstetric clinic for routine Pap smear tests. This study was conducted between May 2019 and December 2020. Cases were divided into severe deficiency (<12 ng/ml), moderate deficiency (12-20 ng/ml), deficiency (21-30 ng/ml), and sufficiency (>30 ng/ml) according to the vitamin D levels measured in the postmenopausal period within the scope of check-up examinations. Pap smear test results compared with vitamin D levels. The mean age of the study group was 48.70±3.46 years. There was a statistically significant association between vitamin D values and Pap smear test results (p<0.05). Vitamin D greater than 20 ng/ml had a significant relationship with the normal cytology results. There was a statistically significant association between vitamin D lower than 20 ng/ml and cervicitis cytology results. The results showed that the serum vitamin D and the Pap smear test results had a significant association. It is recommended that physicians prescribe the use of vitamin D supplements in women in the high-risk group of cervical cancer.

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A two-stage approach solo_GAN for overlapping cervical cell segmentation based on single-cell identification and boundary generation

He,

Jia,

Zhang

et al. 2024

Appl Intell

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A literature survey of automated detection of cervical cancer cell in Pap smear images

Cited by 4 publications

References 0 publications

Pap Smear Image Analysis Based on Nucleus Segmentation and Deep Learning – A Recent Review

Pap Smear Image Analysis Based on Nucleus Segmentation and Deep Learning – A Recent Review

What is the effect of vitamin D deficiency on Pap smear test results in the postmenopausal period?

A two-stage approach solo_GAN for overlapping cervical cell segmentation based on single-cell identification and boundary generation

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