Severity Assessment of Lymph Nodes in CT Images using Deep Learning Paradigm

Hitesh Tekchandani, Shrish Verma
{"title":"Severity Assessment of Lymph Nodes in CT Images using Deep Learning Paradigm","authors":"Hitesh Tekchandani, Shrish Verma","doi":"10.1109/ICCMC.2018.8487555","DOIUrl":null,"url":null,"abstract":"Cancer in lymph nodes occurs either in the nodes themselves or infuses from somewhere else. In these scenarios, the cancer assessment using image information may lead to valuable assistance to the radiologists. In this paper, the lymph nodes in computed tomography (CT) images are explored for assessing the severity of cancer on deep machine learning platform. The proposed system has an advantage of not working on features to achieve comparable or even better stratification of cancerous lymph nodes. Mediastinal lymph nodes are focused here due to their clinical importance to determine the metastasis.","PeriodicalId":6604,"journal":{"name":"2018 Second International Conference on Computing Methodologies and Communication (ICCMC)","volume":"8 1","pages":"686-691"},"PeriodicalIF":0.0000,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Second International Conference on Computing Methodologies and Communication (ICCMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCMC.2018.8487555","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

Cancer in lymph nodes occurs either in the nodes themselves or infuses from somewhere else. In these scenarios, the cancer assessment using image information may lead to valuable assistance to the radiologists. In this paper, the lymph nodes in computed tomography (CT) images are explored for assessing the severity of cancer on deep machine learning platform. The proposed system has an advantage of not working on features to achieve comparable or even better stratification of cancerous lymph nodes. Mediastinal lymph nodes are focused here due to their clinical importance to determine the metastasis.
基于深度学习范式的CT图像淋巴结严重程度评估
淋巴结中的癌症要么发生在淋巴结本身,要么从其他地方注入。在这些情况下,使用图像信息进行癌症评估可能会给放射科医生带来有价值的帮助。本文在深度机器学习平台上探索了计算机断层扫描(CT)图像中的淋巴结,以评估癌症的严重程度。所提出的系统的优点是不需要在特征上工作,以实现可比较的甚至更好的癌性淋巴结分层。纵隔淋巴结集中在这里,因为他们的临床重要性,以确定转移。
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:604180095
Book学术官方微信