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Author:

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

Indexed by:

EI

Abstract:

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.

Keyword:

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

Author Community:

  • [ 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

Reprint Author's Address:

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

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Source :

Year: 2019

Page: 59-63

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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