卷积神经网络在图像分类中的应用

IF 0.2 Q4 EDUCATION & EDUCATIONAL RESEARCH
L. Zelenina, Liudmila E. Khaimina, Evgenii S. Khaimin, D.S. Khripunov, I. M. Zashikhina
{"title":"卷积神经网络在图像分类中的应用","authors":"L. Zelenina, Liudmila E. Khaimina, Evgenii S. Khaimin, D.S. Khripunov, I. M. Zashikhina","doi":"10.53656/math2022-1-2-con","DOIUrl":null,"url":null,"abstract":"Convolutional neural networks are acquiring general acknowledgement for diverse application areas. The article describes the process of solving the task of images classification using convolutional neural networks. The authors present the examples of using convolutional neural networks for various purposes. The composed set of data is used to implement and train the model of convolutional neural network for the task of classification of medical images.","PeriodicalId":41818,"journal":{"name":"Mathematics and Informatics","volume":null,"pages":null},"PeriodicalIF":0.2000,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Convolutional Neural Networks in the Task of Image Classification\",\"authors\":\"L. Zelenina, Liudmila E. Khaimina, Evgenii S. Khaimin, D.S. Khripunov, I. M. Zashikhina\",\"doi\":\"10.53656/math2022-1-2-con\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Convolutional neural networks are acquiring general acknowledgement for diverse application areas. The article describes the process of solving the task of images classification using convolutional neural networks. The authors present the examples of using convolutional neural networks for various purposes. The composed set of data is used to implement and train the model of convolutional neural network for the task of classification of medical images.\",\"PeriodicalId\":41818,\"journal\":{\"name\":\"Mathematics and Informatics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.2000,\"publicationDate\":\"2022-02-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mathematics and Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.53656/math2022-1-2-con\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"EDUCATION & EDUCATIONAL RESEARCH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mathematics and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.53656/math2022-1-2-con","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 3

摘要

卷积神经网络在不同的应用领域得到了广泛的认可。本文描述了使用卷积神经网络解决图像分类任务的过程。作者提出了使用卷积神经网络用于各种目的的例子。将合成的数据集用于实现和训练卷积神经网络模型,用于医学图像分类任务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Convolutional Neural Networks in the Task of Image Classification
Convolutional neural networks are acquiring general acknowledgement for diverse application areas. The article describes the process of solving the task of images classification using convolutional neural networks. The authors present the examples of using convolutional neural networks for various purposes. The composed set of data is used to implement and train the model of convolutional neural network for the task of classification of medical images.
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
Mathematics and Informatics
Mathematics and Informatics EDUCATION & EDUCATIONAL RESEARCH-
自引率
50.00%
发文量
40
×
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