Pneumoconiosis computer aided diagnosis system based on X-rays and deep learning
Pneumoconiosis computer aided diagnosis system based on X-rays and deep learning
About this item
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Author / Creator
Yang, Fan , Tang, Zhi-Ri , Chen, Jing , Tang, Min , Wang, Shengchun , Qi, Wanyin , Yao, Chong , Yu, Yuanyuan , Guo, Yinan and Yu, Zekuan
Publisher
England: BioMed Central Ltd
Journal title
Language
English
Formats
Publication information
Publisher
England: BioMed Central Ltd
Subjects
More information
Scope and Contents
Contents
The objective of this study is to construct a computer aided diagnosis system for normal people and pneumoconiosis using X-raysand deep learning algorithms.
1760 anonymous digital X-ray images of real patients between January 2017 and June 2020 were collected for this experiment. In order to concentrate the feature extraction ability of the mode...
Alternative Titles
Full title
Pneumoconiosis computer aided diagnosis system based on X-rays and deep learning
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_74d6015a458743b7a17376b8726b4278
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_74d6015a458743b7a17376b8726b4278
Other Identifiers
ISSN
1471-2342
E-ISSN
1471-2342
DOI
10.1186/s12880-021-00723-z
