x线影像评价胃萎缩的特点

K. Abe, Kota Shirakawa, Masahide Minami, Daiki Miura
{"title":"x线影像评价胃萎缩的特点","authors":"K. Abe, Kota Shirakawa, Masahide Minami, Daiki Miura","doi":"10.1109/ICFSP.2018.8552048","DOIUrl":null,"url":null,"abstract":"This paper presents image features for evaluating progression of gastric atrophy from gastric X-ray images. In the proposed method, after the target area for the diagnosis is determined and the gastric folds are extracted, the features are extracted from the area based on the diagnostic index for reading the atrophy from the X-ray images. Concretely, the features measure quantity of the folds and parallelism of the folds. In experiments for examining performance of the proposed features, classifications of normal, moderate, and severe cases were conducted to 117 gastric X-ray images by regarding the features as variables of discriminant machines, and experimental results have shown that the proposed features are effective well to measure the progression.","PeriodicalId":355222,"journal":{"name":"2018 4th International Conference on Frontiers of Signal Processing (ICFSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Features for Evaluating Gastric Atrophy Using X-ray Images\",\"authors\":\"K. Abe, Kota Shirakawa, Masahide Minami, Daiki Miura\",\"doi\":\"10.1109/ICFSP.2018.8552048\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents image features for evaluating progression of gastric atrophy from gastric X-ray images. In the proposed method, after the target area for the diagnosis is determined and the gastric folds are extracted, the features are extracted from the area based on the diagnostic index for reading the atrophy from the X-ray images. Concretely, the features measure quantity of the folds and parallelism of the folds. In experiments for examining performance of the proposed features, classifications of normal, moderate, and severe cases were conducted to 117 gastric X-ray images by regarding the features as variables of discriminant machines, and experimental results have shown that the proposed features are effective well to measure the progression.\",\"PeriodicalId\":355222,\"journal\":{\"name\":\"2018 4th International Conference on Frontiers of Signal Processing (ICFSP)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 4th International Conference on Frontiers of Signal Processing (ICFSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICFSP.2018.8552048\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 4th International Conference on Frontiers of Signal Processing (ICFSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICFSP.2018.8552048","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

本文介绍了从胃x线图像评价胃萎缩进展的图像特征。在该方法中,在确定诊断的目标区域并提取胃褶皱后,根据诊断指标从x射线图像中读取萎缩,从该区域提取特征。具体来说,特征度量褶皱的数量和褶皱的平行度。在检验所提特征性能的实验中,将所提特征作为判别机的变量,对117张胃x射线图像进行了正常、中度和重度的分类,实验结果表明所提特征能够很好地衡量病情进展。
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
Features for Evaluating Gastric Atrophy Using X-ray Images
This paper presents image features for evaluating progression of gastric atrophy from gastric X-ray images. In the proposed method, after the target area for the diagnosis is determined and the gastric folds are extracted, the features are extracted from the area based on the diagnostic index for reading the atrophy from the X-ray images. Concretely, the features measure quantity of the folds and parallelism of the folds. In experiments for examining performance of the proposed features, classifications of normal, moderate, and severe cases were conducted to 117 gastric X-ray images by regarding the features as variables of discriminant machines, and experimental results have shown that the proposed features are effective well to measure the progression.
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
On-body Sensing and Signal Analysis for User Experience Recognition in Human-Machine Interaction Objective Approach of 3G/4G Networks Indoor RF Coverage Assessment Statistical Compressive Sensing for Efficient Signal Reconstruction and Classification Towards Empowering Cyber Attack Resiliency Using Steganography Filtering Nonuniformly Sampled Grid-Based Signals
×
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