A Software for the Lung Image Database Consortium and Image Database Resource Initiative
Pages 59 - 63
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.
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Published In
October 2019
141 pages
ISBN:9781450372510
DOI:10.1145/3369166
Copyright © 2019 ACM.
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In-Cooperation
- Beijing University of Technology
- Harbin Inst. Technol.: Harbin Institute of Technology
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 13 January 2020
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ICBBS 2019
ICBBS 2019: 2019 8th International Conference on Bioinformatics and Biomedical Science
October 23 - 25, 2019
Beijing, China
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