Cell nuclei segmentation in glioma histopathology images with color decomposition based active contours

V. B. Surya Prasath, Kiichi Fukuma, B. Aronow, H. Kawanaka
{"title":"Cell nuclei segmentation in glioma histopathology images with color decomposition based active contours","authors":"V. B. Surya Prasath, Kiichi Fukuma, B. Aronow, H. Kawanaka","doi":"10.1109/BIBM.2015.7359944","DOIUrl":null,"url":null,"abstract":"This work discusses the performance of a color decomposition based active contours for segmenting cell nuclei from glioma histopathology. By combining a nuclear staining information obtained from color decomposition with fast variational active contours we obtain unsupervised segmentation of nuclei in histopathological images. Experimental results show promise when compared with different state of the art techniques.","PeriodicalId":186217,"journal":{"name":"2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIBM.2015.7359944","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10

Abstract

This work discusses the performance of a color decomposition based active contours for segmenting cell nuclei from glioma histopathology. By combining a nuclear staining information obtained from color decomposition with fast variational active contours we obtain unsupervised segmentation of nuclei in histopathological images. Experimental results show promise when compared with different state of the art techniques.
基于颜色分解的神经胶质瘤组织病理图像的细胞核分割
本工作讨论了基于颜色分解的活性轮廓分割胶质瘤组织病理学细胞核的性能。通过将颜色分解得到的细胞核染色信息与快速变分活动轮廓相结合,实现了组织病理图像中细胞核的无监督分割。实验结果表明,与现有技术相比,该方法具有良好的应用前景。
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