利用深度学习检测COVID-19

V. Gupta
{"title":"利用深度学习检测COVID-19","authors":"V. Gupta","doi":"10.46501/ijmtst061281","DOIUrl":null,"url":null,"abstract":"Deep learning is an artificial intelligence function that imitates the workings of the human brain in processing\ndata and creating patterns for use in decision making. Deep learning is a subset of machine learning in\nartificial intelligence (AI) that has networks capable of learning and recognizing patterns from data that is\nunstructured or unlabelled. It is also known as deep neural learning or deep neural network. Convolutional\nNeural Networks (ConvNets or CNNs) are a category of Neural Networks that have proven very effective in\nareas such as image recognition and classification. ConvNets have been successful in identifying faces,\nobjects and traffic signs apart from powering vision in robots and self-driving cars. ConvNets can also be\nused for Radio Imaging which helps in disease detection.\nThis paper helps in detecting COVID-19 from the X-ray images provided to the model using Convolutional\nNeural Networks (CNN) and image augmentation techniques.","PeriodicalId":13741,"journal":{"name":"International Journal for Modern Trends in Science and Technology","volume":"95 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"COVID-19 Detection using Deep Learning\",\"authors\":\"V. Gupta\",\"doi\":\"10.46501/ijmtst061281\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Deep learning is an artificial intelligence function that imitates the workings of the human brain in processing\\ndata and creating patterns for use in decision making. Deep learning is a subset of machine learning in\\nartificial intelligence (AI) that has networks capable of learning and recognizing patterns from data that is\\nunstructured or unlabelled. It is also known as deep neural learning or deep neural network. Convolutional\\nNeural Networks (ConvNets or CNNs) are a category of Neural Networks that have proven very effective in\\nareas such as image recognition and classification. ConvNets have been successful in identifying faces,\\nobjects and traffic signs apart from powering vision in robots and self-driving cars. ConvNets can also be\\nused for Radio Imaging which helps in disease detection.\\nThis paper helps in detecting COVID-19 from the X-ray images provided to the model using Convolutional\\nNeural Networks (CNN) and image augmentation techniques.\",\"PeriodicalId\":13741,\"journal\":{\"name\":\"International Journal for Modern Trends in Science and Technology\",\"volume\":\"95 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal for Modern Trends in Science and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.46501/ijmtst061281\",\"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 for Modern Trends in Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46501/ijmtst061281","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

深度学习是一种人工智能功能,它模仿人脑在处理数据和创建用于决策的模式方面的工作方式。深度学习是人工智能(AI)中机器学习的一个子集,它具有能够从非结构化或未标记的数据中学习和识别模式的网络。它也被称为深度神经学习或深度神经网络。卷积神经网络(ConvNets或cnn)是神经网络的一个类别,已被证明在图像识别和分类等领域非常有效。除了为机器人和自动驾驶汽车提供视觉支持外,卷积神经网络还在识别人脸、物体和交通标志方面取得了成功。卷积神经网络也可以用于无线电成像,这有助于疾病检测。本文利用卷积神经网络(CNN)和图像增强技术,帮助从提供给模型的x射线图像中检测COVID-19。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
COVID-19 Detection using Deep Learning
Deep learning is an artificial intelligence function that imitates the workings of the human brain in processing data and creating patterns for use in decision making. Deep learning is a subset of machine learning in artificial intelligence (AI) that has networks capable of learning and recognizing patterns from data that is unstructured or unlabelled. It is also known as deep neural learning or deep neural network. Convolutional Neural Networks (ConvNets or CNNs) are a category of Neural Networks that have proven very effective in areas such as image recognition and classification. ConvNets have been successful in identifying faces, objects and traffic signs apart from powering vision in robots and self-driving cars. ConvNets can also be used for Radio Imaging which helps in disease detection. This paper helps in detecting COVID-19 from the X-ray images provided to the model using Convolutional Neural Networks (CNN) and image augmentation techniques.
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:481959085
Book学术官方微信