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Developing an Echocardiography-Based, Automatic Deep Learning Framework for the Differentiation of I...

Developing an Echocardiography-Based, Automatic Deep Learning Framework for the Differentiation of I...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_de72c6b5c6a44505ac701dba0bc694f1

Developing an Echocardiography-Based, Automatic Deep Learning Framework for the Differentiation of Increased Left Ventricular Wall Thickness Etiologies

About this item

Full title

Developing an Echocardiography-Based, Automatic Deep Learning Framework for the Differentiation of Increased Left Ventricular Wall Thickness Etiologies

Publisher

Switzerland: MDPI AG

Journal title

Journal of imaging, 2023-02, Vol.9 (2), p.48

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Increased left ventricular (LV) wall thickness is frequently encountered in transthoracic echocardiography (TTE). While accurate and early diagnosis is clinically important, given the differences in available therapeutic options and prognosis, an extensive workup is often required to establish the diagnosis. We propose the first echo-based, automat...

Alternative Titles

Full title

Developing an Echocardiography-Based, Automatic Deep Learning Framework for the Differentiation of Increased Left Ventricular Wall Thickness Etiologies

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_de72c6b5c6a44505ac701dba0bc694f1

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_de72c6b5c6a44505ac701dba0bc694f1

Other Identifiers

ISSN

2313-433X

E-ISSN

2313-433X

DOI

10.3390/jimaging9020048

How to access this item