• 综合
  • 标题
  • 关键词
  • 摘要
  • 学者
  • 期刊-刊名
  • 期刊-ISSN
  • 会议名称
搜索

作者:

Wang, Jingxuan (Wang, Jingxuan.) | Zhang, Baiwen (Zhang, Baiwen.) | Lin, Lan (Lin, Lan.) | Wu, Xuetao (Wu, Xuetao.) | Wu, Shuicai (Wu, Shuicai.) (学者:吴水才)

收录:

EI

摘要:

With the development of big data to medical area, more and more researchers use authoritative public datasets for research. In the field of lung cancer research, Lung Image Database Consortium and Image Database Resource Initiative is the largest open lung image database in the world, which contains CT images stored in DICOM format and expert diagnostic information stored in XML format. However, data cannot be used directly and needs to be further processed. To solve this problem, a preprocessing software based on lung CT image data is designed. The software can realize the preprocessing of lung CT image, interprets the expert diagnosis information completely, and visualizes the expert annotation results. The lung CT image data preprocessing software has cross-platform portability, openness and sharing. © 2019 Association for Computing Machinery.

关键词:

Bioinformatics Biological organs Computerized tomography Computer software portability Database systems Diagnosis Large dataset XML

作者机构:

  • [ 1 ] [Wang, Jingxuan]College of Life Science and Bioengineering, Beijing University of Technology, China
  • [ 2 ] [Zhang, Baiwen]College of Life Science and Bioengineering, Beijing University of Technology, China
  • [ 3 ] [Lin, Lan]College of Life Science and Bioengineering, Beijing University of Technology, China
  • [ 4 ] [Wu, Xuetao]College of Life Science and Bioengineering, Beijing University of Technology, China
  • [ 5 ] [Wu, Shuicai]College of Life Science and Bioengineering, Beijing University of Technology, China

通讯作者信息:

  • [lin, lan]college of life science and bioengineering, beijing university of technology, china

电子邮件地址:

查看成果更多字段

相关关键词:

相关文章:

来源 :

年份: 2019

页码: 59-63

语种: 英文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 1

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 0

在线人数/总访问数:155/3269493
地址:北京工业大学图书馆(北京市朝阳区平乐园100号 邮编:100124) 联系我们:010-67392185
版权所有:北京工业大学图书馆 站点建设与维护:北京爱琴海乐之技术有限公司