End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tom...
End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography
About this item
Full title
Author / Creator
Publisher
New York: Nature Publishing Group US
Journal title
Language
English
Formats
Publication information
Publisher
New York: Nature Publishing Group US
Subjects
More information
Scope and Contents
Contents
With an estimated 160,000 deaths in 2018, lung cancer is the most common cause of cancer death in the United States
1
. Lung cancer screening using low-dose computed tomography has been shown to reduce mortality by 20–43% and is now included in US screening guidelines
1
–
6
. Existing challenges include inter-grader variability an...
Alternative Titles
Full title
End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography
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Record Identifier
TN_cdi_proquest_miscellaneous_2232073458
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2232073458
Other Identifiers
ISSN
1078-8956
E-ISSN
1546-170X
DOI
10.1038/s41591-019-0447-x
