Radiomics and deep learning for myocardial scar screening in hypertrophic cardiomyopathy
Radiomics and deep learning for myocardial scar screening in hypertrophic cardiomyopathy
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
Myocardial scar burden quantified using late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR), has important prognostic value in hypertrophic cardiomyopathy (HCM). However, nearly 50% of HCM patients have no scar but undergo repeated gadolinium-based CMR over their life span. We sought to develop an artificial intelligence (AI)-...
Alternative Titles
Full title
Radiomics and deep learning for myocardial scar screening in hypertrophic cardiomyopathy
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_53457c605f7841a88108fec802553690
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_53457c605f7841a88108fec802553690
Other Identifiers
ISSN
1097-6647
E-ISSN
1532-429X
DOI
10.1186/s12968-022-00869-x