您当前的位置:
首页 >
文章列表页 >
Hemopneumothorax detection through the process of artificial evolution - a feasibility study
RESEARCH | 更新时间:2023-02-28
    • Hemopneumothorax detection through the process of artificial evolution - a feasibility study

    • Hemopneumothorax detection through the process of artificial evolution - a feasibility study

    • Adir Sommer ,Noy Mark ,Gavriel D. Kohlberg ,Rafi Gerasi ,Linn Wagnert Avraham ,Ruth Fan-Marko ,Arik Eisenkraft ,Dean Nachman
    • 解放军医学杂志(英文版) 2022年9卷第1期 页码:12-20
    • DOI: 10.1186/s40779-021-00319-2     

      中图分类号:

    移动端阅览

  •  
  •  
  • HTML全文

  • 图( 2 ) 表( 1 )

  • 参考文献

  • 出版信息

  • 数据统计

论文导航
icon
试读结束,您可以激活您的VIP账号继续阅读。
去激活 >
icon
试读结束,您可以通过登录账户,到个人中心,购买VIP会员阅读全文。
已是VIP会员?
去登录 >

18

浏览量

15

下载量

0

CSCD

文章被引用时,请邮件提醒。
提交
工具集
  • BibTeX下载
  • Endnote下载
  • RefMan 下载
  • NoteExpress下载
  • NoteFirst下载

相关文章

Enhancing the clinical relevance of haemorrhage prediction models in trauma
Artificial intelligence and machine learning for hemorrhagic trauma care
Supraglottic jet oxygenation and ventilation (SJOV) for resuscitation of injured soldiers and people in war field
PRIME: an interpretable artificial intelligence model based on liquid biopsy improves prediction of progression risk in non-small cell lung cancer
Bridging the lung cancer screening eligibility gap: evaluation of guideline applicability in asymptomatic patients

相关作者

Sankalp Tandle
Jared M. Wohlgemut
Max E. R. Marsden
Erhan Pisirir
Evangelia Kyrimi
Rebecca S. Stoner
William Marsh
Zane B. Perkins

相关机构

Centre for Trauma Sciences, Blizard Institute, Queen Mary University of London
The Royal London Hospital, Barts Health NHS Trust
Academic Department of Military Surgery and Trauma, Research and Clinical Innovation, The Royal Centre for Defence Medicine
Department of Electronic Engineering and Computer Science, Queen Mary University of London
Defence Research and Development Canada, Toronto Research Centre