基于胸部x线和ct扫描图像的COVID-19检测深度学习技术:简要回顾和未来展望

Maad M. Mijwil, Karan Aggarwal, Ruchi Doshi, K. Hiran, B. Sundaravadivazhagan
{"title":"基于胸部x线和ct扫描图像的COVID-19检测深度学习技术:简要回顾和未来展望","authors":"Maad M. Mijwil, Karan Aggarwal, Ruchi Doshi, K. Hiran, B. Sundaravadivazhagan","doi":"10.24203/ajas.v10i3.6998","DOIUrl":null,"url":null,"abstract":"Today, humans live in the era of rapid growth in electronic devices that are based on artificial intelligence, including the significant growth in the manufacture of machines that perform intelligent human tasks to solve complex situations. Artificial intelligence will significantly influence the development of many domains, especially the medical domain, which relies heavily on artificial intelligence techniques in diagnosing disease data and manufacturing drugs and vaccines. Artificial intelligence has unexpectedly advanced in helping physicians and healthcare workers save many lives, especially during the spread of the COVID-19 virus. This article reviews some literature that have applied deep learning techniques to detect COVID-19 based on chest x-rays and CT-scans images. This article concluded that deep learning techniques have a fundamental and significant role in diagnosing a big dataset of images and assisting specialists in determining whether a person is infected (positive cases).\n ","PeriodicalId":8497,"journal":{"name":"Asian Journal of Applied Sciences","volume":"52 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Deep Learning Techniques for COVID-19 Detection Based on Chest X-ray and CT-scan Images: A Short Review and Future Perspective\",\"authors\":\"Maad M. Mijwil, Karan Aggarwal, Ruchi Doshi, K. Hiran, B. Sundaravadivazhagan\",\"doi\":\"10.24203/ajas.v10i3.6998\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Today, humans live in the era of rapid growth in electronic devices that are based on artificial intelligence, including the significant growth in the manufacture of machines that perform intelligent human tasks to solve complex situations. Artificial intelligence will significantly influence the development of many domains, especially the medical domain, which relies heavily on artificial intelligence techniques in diagnosing disease data and manufacturing drugs and vaccines. Artificial intelligence has unexpectedly advanced in helping physicians and healthcare workers save many lives, especially during the spread of the COVID-19 virus. This article reviews some literature that have applied deep learning techniques to detect COVID-19 based on chest x-rays and CT-scans images. This article concluded that deep learning techniques have a fundamental and significant role in diagnosing a big dataset of images and assisting specialists in determining whether a person is infected (positive cases).\\n \",\"PeriodicalId\":8497,\"journal\":{\"name\":\"Asian Journal of Applied Sciences\",\"volume\":\"52 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Asian Journal of Applied Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.24203/ajas.v10i3.6998\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Journal of Applied Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24203/ajas.v10i3.6998","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13

摘要

今天,人类生活在基于人工智能的电子设备快速增长的时代,包括执行智能人类任务以解决复杂情况的机器制造的显着增长。人工智能将显著影响许多领域的发展,特别是医疗领域,该领域在诊断疾病数据和制造药物和疫苗方面严重依赖人工智能技术。人工智能在帮助医生和医护人员挽救许多生命方面取得了意想不到的进展,特别是在COVID-19病毒传播期间。本文综述了一些应用深度学习技术基于胸部x光片和ct扫描图像检测COVID-19的文献。本文的结论是,深度学习技术在诊断大图像数据集和协助专家确定一个人是否被感染(阳性病例)方面具有基础和重要的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Deep Learning Techniques for COVID-19 Detection Based on Chest X-ray and CT-scan Images: A Short Review and Future Perspective
Today, humans live in the era of rapid growth in electronic devices that are based on artificial intelligence, including the significant growth in the manufacture of machines that perform intelligent human tasks to solve complex situations. Artificial intelligence will significantly influence the development of many domains, especially the medical domain, which relies heavily on artificial intelligence techniques in diagnosing disease data and manufacturing drugs and vaccines. Artificial intelligence has unexpectedly advanced in helping physicians and healthcare workers save many lives, especially during the spread of the COVID-19 virus. This article reviews some literature that have applied deep learning techniques to detect COVID-19 based on chest x-rays and CT-scans images. This article concluded that deep learning techniques have a fundamental and significant role in diagnosing a big dataset of images and assisting specialists in determining whether a person is infected (positive cases).  
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
期刊最新文献
Application of Crude Extract of Hibiscus sabdariffa as Stain for Bacterial Cells Ab Initio Method for Estimating the Theoretical Hardness of Covalent Crystals with a Cubic Structure The Effect of Seasonality on the Diet and Biochemical Composition of the Stomach Contents Tilapia Sarotherodon melanotheron melanotheron (Rüppell, 1852) in three Aquatic Ecosystems of Côte d'Ivoire (Sector VI of Ebrié lagoon, Ayamé Lake 1 and Aby-Nord lagoon) Relevance and Consequences of COVID-19 Pandemic From 7th-13th December, 2021 Across Different Countries Impact of Eye Care Intervention on Poverty Reduction in Katsina State
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1