以The Cancer Imaging Archive TCIA为关键词在PUBMED上进行检索可以看到2012-2023年间基于此平台已经发表了159篇文章了,小伙伴也快点行动起来吧。 根据我们在前面提供的链接,点击进入后就会看到如下界面(主要由三个板块:数据上传、数据获取、帮助。我们今天主要分享的是数据获取的方法) 点击Access The Data以获取数据,...
[图片]导语GUIDE ╲[图片]癌症图像档案 (The Cancer Imaging Archive,TCIA)是一项可以de-identify和托管可供公众下载的大量癌症医学图像的服务。[图片][图片][图片]数据库介绍癌症图像档案 (The Cancer Imaging A... 阅读全文 喜欢此内容的人还喜...
TheCancerImagingArchive(TCIA):MaintainingandOperatingaPublicInformationRepositoryKennethClark&BruceVendt&KirkSmith&JohnFreymann&JustinKirby& ..
The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository. J Digit Imaging. 2013; 26:1045-57... K Clark,B Vendt,K Smith,... - 《Journal of Digital Imaging》 被引量: 0发表: 2013年 TU-AB-BRA-03: The Cancer Imaging Archive: Supporting Radiomic and Imag...
TCIABrowser is a 3D Slicer module for browsing and downloading medical imaging collections from The Cancer Imaging Archive (TCIA). See documentation and our PPT usage guide for more information. Acknowledgments This work is supported in part by the following National Institutes of Health grant: Quant...
Shiyam Sundar, L.K., Gutschmayer, S., Maenle, M.et al.Extracting value from total-body PET/CT image data - the emerging role of artificial intelligence.Cancer Imaging24, 51 (2024). https://doi.org/10.1186/s40644-024-00684-w
Cancer Imaging volume 23, Article number: 33 (2023) Cite this article 1826 Accesses 3 Citations Metrics details Abstract Background Several previous studies demonstrated that the combination of self-expandable metallic stents (SEMS) and 125I seed implantation might prolong stent patency and obtain ...
Considering the potential impact of radiation exposure and the potential for second cancer, imaging techniques which minimise radiation exposure, such as magnetic resonance (MRI) imaging, are of clinical interest [12, 13]. The introduction of hybrid PET/MRI imaging systems has allowed simultaneous ...
Recently, the application of deep learning (DL) has made great progress in various fields, especially in cancer research. However, to date, the bibliometric analysis of the application of DL in cancer is scarce. Therefore, this study aimed to explore the research status and hotspots of the app...
Recently, the application of deep learning (DL) has made great progress in various fields, especially in cancer research. However, to date, the bibliometric analysis of the application of DL in cancer is scarce. Therefore, this study aimed to explore the