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An emerging paradigms on cervical cancer screening methods and devices for clinical trails.

作者信息

Raimond Kumudha, Rao Gadudasu Babu, Juliet Sujitha, Tamilarasi S Rubeena Grace, Evangelin P S, Mathew Limson

机构信息

Department of Computer Science Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India.

Department of Mechanical Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India.

出版信息

Front Public Health. 2022 Oct 28;10:1030304. doi: 10.3389/fpubh.2022.1030304. eCollection 2022.

DOI:10.3389/fpubh.2022.1030304
PMID:36388384
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9651910/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7e3/9651910/435a7e23b166/fpubh-10-1030304-g0011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7e3/9651910/dc0f21dd9f27/fpubh-10-1030304-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7e3/9651910/65a158256a64/fpubh-10-1030304-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7e3/9651910/5513c796c01c/fpubh-10-1030304-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7e3/9651910/5a2e5dbb4b8e/fpubh-10-1030304-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7e3/9651910/814ab7d86f1e/fpubh-10-1030304-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7e3/9651910/f78a0960ebe8/fpubh-10-1030304-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7e3/9651910/026aaeab0e90/fpubh-10-1030304-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7e3/9651910/6689c5f9e340/fpubh-10-1030304-g0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7e3/9651910/6301ca419c6e/fpubh-10-1030304-g0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7e3/9651910/4adf27bbe92b/fpubh-10-1030304-g0010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7e3/9651910/435a7e23b166/fpubh-10-1030304-g0011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7e3/9651910/dc0f21dd9f27/fpubh-10-1030304-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7e3/9651910/65a158256a64/fpubh-10-1030304-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7e3/9651910/5513c796c01c/fpubh-10-1030304-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7e3/9651910/5a2e5dbb4b8e/fpubh-10-1030304-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7e3/9651910/814ab7d86f1e/fpubh-10-1030304-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7e3/9651910/f78a0960ebe8/fpubh-10-1030304-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7e3/9651910/026aaeab0e90/fpubh-10-1030304-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7e3/9651910/6689c5f9e340/fpubh-10-1030304-g0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7e3/9651910/6301ca419c6e/fpubh-10-1030304-g0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7e3/9651910/4adf27bbe92b/fpubh-10-1030304-g0010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7e3/9651910/435a7e23b166/fpubh-10-1030304-g0011.jpg

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本文引用的文献

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A Deep Clustering Method For Analyzing Uterine Cervix Images Across Imaging Devices.一种用于跨成像设备分析子宫颈图像的深度聚类方法。
Proc IEEE Int Symp Comput Based Med Syst. 2021 Jun;2021:527-532. doi: 10.1109/cbms52027.2021.00085. Epub 2021 Jul 12.
2
Cervical cancer burden, status of implementation and challenges of cervical cancer screening in Association of Southeast Asian Nations (ASEAN) countries.东南亚国家联盟（东盟）成员国的宫颈癌负担、实施现状和宫颈癌筛查挑战。
Cancer Lett. 2022 Jan 28;525:22-32. doi: 10.1016/j.canlet.2021.10.036. Epub 2021 Oct 30.
3
Deep Metric Learning for Cervical Image Classification.
用于宫颈图像分类的深度度量学习
IEEE Access. 2021;9:53266-53275. doi: 10.1109/access.2021.3069346. Epub 2021 Mar 29.
4
Predictors of screening for cervical and colorectal cancer in women 50-65 years old in a multi-ethnic population.多民族人群中50至65岁女性宫颈癌和结直肠癌筛查的预测因素
Prev Med Rep. 2021 Apr 19;22:101375. doi: 10.1016/j.pmedr.2021.101375. eCollection 2021 Jun.
5
Comparative Study of Smart Scope® Visual Screening Test with Naked Eye Visual Screening and Pap Test.智能镜®视觉筛查试验与肉眼视觉筛查和巴氏涂片检查的比较研究。
Asian Pac J Cancer Prev. 2020 Dec 1;21(12):3509-3515. doi: 10.31557/APJCP.2020.21.12.3509.
6
Persistent Disparities in Cervical Cancer Screening Uptake: Knowledge and Sociodemographic Determinants of Papanicolaou and Human Papillomavirus Testing Among Women in the United States.持续性的宫颈癌筛查参与率差距：美国女性巴氏涂片检查和人乳头瘤病毒检测的知识与社会人口学决定因素。
Public Health Rep. 2020 Jul/Aug;135(4):483-491. doi: 10.1177/0033354920925094. Epub 2020 Jun 9.
7
Estimates of incidence and mortality of cervical cancer in 2018: a worldwide analysis.2018 年宫颈癌发病率和死亡率的估计：全球分析。
Lancet Glob Health. 2020 Feb;8(2):e191-e203. doi: 10.1016/S2214-109X(19)30482-6. Epub 2019 Dec 4.
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Advances in technologies for cervical cancer detection in low-resource settings.在资源有限的环境中，宫颈癌检测技术的进展。
Expert Rev Mol Diagn. 2019 Aug;19(8):695-714. doi: 10.1080/14737159.2019.1648213. Epub 2019 Aug 1.
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Image Registration based Cervical Cancer Detection and Segmentation Using ANFIS Classifier.基于图像配准的宫颈癌检测与分割：使用自适应神经模糊推理系统分类器
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