利用深度学习方法对宫颈细胞进行自动分类

Sahana Reddy S, Parvathi B, Preeti Lokare, D V Swetha Ramana
{"title":"利用深度学习方法对宫颈细胞进行自动分类","authors":"Sahana Reddy S, Parvathi B, Preeti Lokare, D V Swetha Ramana","doi":"10.48175/ijarsct-18198","DOIUrl":null,"url":null,"abstract":"Cervical cancer, second only to breast cancer, is one of the cancers leading to cause death among women. Cervical cancer is a cancer that forms in the cells of the cervix, which is the lower section of the uterus that connects the uterus to the pelvis to the vaginal area. Various forms of the papilloma virus (HPV), a sexually transmitted infection that plays a role in cervical cancer and plays a critical part in most cases. The risk of cervical cancer developing can be reduced by undergoing screenings and receiving a vaccination that protects against HPV infection Cancer prevention is important. Most of the time, this is accomplished by checking the transformation zones. Cervical pre-cancerous stages can be observed in three different types, and all can transfigure into cancer. As a result, it's crucial to screen cervical anomalies sensibly and have a reliable process to determine if a cervix is normal (healthy) or pre-cancerous. Presently, the test being carried is a Pap smear test, commonly referred as a Pap test, which is a cervical screening procedure. It examines the cervix for the presence of pre - cancerous or cancerous cells. At present times deep learning is becoming more important alternative for cancer screening. A cervical cancer detection and classification system based on CNN has been proposed. Deep-learned features are acquired using the CNNs mode","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":" 13","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Automatic Classification of Cervical Cells Using Deep Learning Methods\",\"authors\":\"Sahana Reddy S, Parvathi B, Preeti Lokare, D V Swetha Ramana\",\"doi\":\"10.48175/ijarsct-18198\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cervical cancer, second only to breast cancer, is one of the cancers leading to cause death among women. Cervical cancer is a cancer that forms in the cells of the cervix, which is the lower section of the uterus that connects the uterus to the pelvis to the vaginal area. Various forms of the papilloma virus (HPV), a sexually transmitted infection that plays a role in cervical cancer and plays a critical part in most cases. The risk of cervical cancer developing can be reduced by undergoing screenings and receiving a vaccination that protects against HPV infection Cancer prevention is important. Most of the time, this is accomplished by checking the transformation zones. Cervical pre-cancerous stages can be observed in three different types, and all can transfigure into cancer. As a result, it's crucial to screen cervical anomalies sensibly and have a reliable process to determine if a cervix is normal (healthy) or pre-cancerous. Presently, the test being carried is a Pap smear test, commonly referred as a Pap test, which is a cervical screening procedure. It examines the cervix for the presence of pre - cancerous or cancerous cells. At present times deep learning is becoming more important alternative for cancer screening. A cervical cancer detection and classification system based on CNN has been proposed. Deep-learned features are acquired using the CNNs mode\",\"PeriodicalId\":510160,\"journal\":{\"name\":\"International Journal of Advanced Research in Science, Communication and Technology\",\"volume\":\" 13\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Advanced Research in Science, Communication and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.48175/ijarsct-18198\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Advanced Research in Science, Communication and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.48175/ijarsct-18198","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

宫颈癌是仅次于乳腺癌的导致女性死亡的癌症之一。宫颈癌是一种在宫颈细胞中形成的癌症,宫颈是子宫的下部,连接子宫、骨盆和阴道。各种形式的乳头状瘤病毒(HPV)是一种性传播感染,在宫颈癌中起着一定的作用,并且在大多数情况下起着关键作用。接受筛查和接种预防 HPV 感染的疫苗可以降低患宫颈癌的风险。大多数情况下,这可以通过检查转化区来实现。宫颈癌前病变可分为三种不同类型,所有类型都可能转变为癌症。因此,明智地筛查宫颈异常至关重要,并且要有一个可靠的程序来确定宫颈是正常(健康)还是癌前病变。目前,宫颈涂片检查(俗称巴氏试验)是一种宫颈筛查程序。它检查宫颈是否存在癌前病变或癌细胞。目前,深度学习正成为癌症筛查的重要替代方法。有人提出了一种基于 CNN 的宫颈癌检测和分类系统。使用 CNN 模式获取深度学习特征
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic Classification of Cervical Cells Using Deep Learning Methods
Cervical cancer, second only to breast cancer, is one of the cancers leading to cause death among women. Cervical cancer is a cancer that forms in the cells of the cervix, which is the lower section of the uterus that connects the uterus to the pelvis to the vaginal area. Various forms of the papilloma virus (HPV), a sexually transmitted infection that plays a role in cervical cancer and plays a critical part in most cases. The risk of cervical cancer developing can be reduced by undergoing screenings and receiving a vaccination that protects against HPV infection Cancer prevention is important. Most of the time, this is accomplished by checking the transformation zones. Cervical pre-cancerous stages can be observed in three different types, and all can transfigure into cancer. As a result, it's crucial to screen cervical anomalies sensibly and have a reliable process to determine if a cervix is normal (healthy) or pre-cancerous. Presently, the test being carried is a Pap smear test, commonly referred as a Pap test, which is a cervical screening procedure. It examines the cervix for the presence of pre - cancerous or cancerous cells. At present times deep learning is becoming more important alternative for cancer screening. A cervical cancer detection and classification system based on CNN has been proposed. Deep-learned features are acquired using the CNNs mode
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信