Improving multi-label chest X-ray disease diagnosis by exploiting disease and health labels dependen...
Improving multi-label chest X-ray disease diagnosis by exploiting disease and health labels dependencies
About this item
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Author / Creator
Publisher
New York: Springer US
Journal title
Language
English
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Publication information
Publisher
New York: Springer US
Subjects
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Scope and Contents
Contents
The widely used ChestX-ray14 dataset addresses an important medical image classification problem and has the following caveats: 1) many lung pathologies are
visually similar
, 2) a variant of multiple diseases including lung cancer, tuberculosis, and pneumonia are present in a single scan at the same time, i.e.
multiple labels
. Existin...
Alternative Titles
Full title
Improving multi-label chest X-ray disease diagnosis by exploiting disease and health labels dependencies
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_proquest_journals_2409912395
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2409912395
Other Identifiers
ISSN
1380-7501
E-ISSN
1573-7721
DOI
10.1007/s11042-019-08260-2
