Lung Cancer Detection using 3D-Convolution Neural Network

S. V, Poongodi C, S. G, S. S, S. V
{"title":"Lung Cancer Detection using 3D-Convolution Neural Network","authors":"S. V, Poongodi C, S. G, S. S, S. V","doi":"10.1109/STCR55312.2022.10009146","DOIUrl":null,"url":null,"abstract":"Our paper uses an innovative 3D Convolutional Neural Network to determine lung cancer from patients' Computed Tomography (CT) scans because Convolutional Neural Networks (CNN) are useful for extracting important characteristics from images. This project aims to analyze CT scan slices (the data) and create a machine learning model based on the analysis. In this case, 3D Convolutional Neural Networks determine whether a person has cancer by evaluating the data and using a preprocessing technique. By utilizing this device, one can identify and eliminate cancerous cells at their earliest stages","PeriodicalId":338691,"journal":{"name":"2022 Smart Technologies, Communication and Robotics (STCR)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Smart Technologies, Communication and Robotics (STCR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/STCR55312.2022.10009146","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Our paper uses an innovative 3D Convolutional Neural Network to determine lung cancer from patients' Computed Tomography (CT) scans because Convolutional Neural Networks (CNN) are useful for extracting important characteristics from images. This project aims to analyze CT scan slices (the data) and create a machine learning model based on the analysis. In this case, 3D Convolutional Neural Networks determine whether a person has cancer by evaluating the data and using a preprocessing technique. By utilizing this device, one can identify and eliminate cancerous cells at their earliest stages
三维卷积神经网络检测肺癌
我们的论文使用创新的3D卷积神经网络从患者的计算机断层扫描(CT)扫描中确定肺癌,因为卷积神经网络(CNN)对于从图像中提取重要特征很有用。本项目旨在分析CT扫描切片(数据),并基于分析创建机器学习模型。在这种情况下,3D卷积神经网络通过评估数据和使用预处理技术来确定一个人是否患有癌症。通过使用这种设备,人们可以在癌细胞的早期阶段识别和消除癌细胞
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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