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Radiomics and deep learning for myocardial scar screening in hypertrophic cardiomyopathy

Radiomics and deep learning for myocardial scar screening in hypertrophic cardiomyopathy

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_53457c605f7841a88108fec802553690

Radiomics and deep learning for myocardial scar screening in hypertrophic cardiomyopathy

About this item

Full title

Radiomics and deep learning for myocardial scar screening in hypertrophic cardiomyopathy

Publisher

England: BioMed Central Ltd

Journal title

Journal of cardiovascular magnetic resonance, 2022-06, Vol.24 (1), p.40-40, Article 40

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

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

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

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