RVCNet: A hybrid deep neural network framework for the diagnosis of lung diseases
RVCNet: A hybrid deep neural network framework for the diagnosis of lung diseases
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Publisher
United States: Public Library of Science
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Language
English
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Publisher
United States: Public Library of Science
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Scope and Contents
Contents
Early evaluation and diagnosis can significantly reduce the life-threatening nature of lung diseases. Computer-aided diagnostic systems (CADs) can help radiologists make more precise diagnoses and reduce misinterpretations in lung disease diagnosis. Existing literature indicates that more research is needed to correctly classify lung diseases in th...
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Full title
RVCNet: A hybrid deep neural network framework for the diagnosis of lung diseases
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TN_cdi_plos_journals_3072932142
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_3072932142
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ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0293125
