Machine-learning classification of texture features of portable chest X-ray accurately classifies CO...
Machine-learning classification of texture features of portable chest X-ray accurately classifies COVID-19 lung infection
About this item
Full title
Author / Creator
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 large volume and suboptimal image quality of portable chest X-rays (CXRs) as a result of the COVID-19 pandemic could post significant challenges for radiologists and frontline physicians. Deep-learning artificial intelligent (AI) methods have the potential to help improve diagnostic efficiency and accuracy for reading portable CXRs.
The stud...
Alternative Titles
Full title
Machine-learning classification of texture features of portable chest X-ray accurately classifies COVID-19 lung infection
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7686836
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7686836
Other Identifiers
ISSN
1475-925X
E-ISSN
1475-925X
DOI
10.1186/s12938-020-00831-x