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Learning deep architectures for the interpretation of first-trimester fetal echocardiography (LIFE)...

Learning deep architectures for the interpretation of first-trimester fetal echocardiography (LIFE)...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0a906ead15994ae988352b1f9e4ce631

Learning deep architectures for the interpretation of first-trimester fetal echocardiography (LIFE) - a study protocol for developing an automated intelligent decision support system for early fetal echocardiography

About this item

Full title

Learning deep architectures for the interpretation of first-trimester fetal echocardiography (LIFE) - a study protocol for developing an automated intelligent decision support system for early fetal echocardiography

Publisher

England: BioMed Central Ltd

Journal title

BMC Pregnancy and Childbirth, 2023-01, Vol.23 (1), p.20-20, Article 20

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Congenital Heart Disease represents the most frequent fetal malformation. The lack of prenatal identification of congenital heart defects can have adverse consequences for the neonate, while a correct prenatal diagnosis of specific cardiac anomalies improves neonatal care neurologic and surgery outcomes. Sonographers perform prenatal diagnosis manu...

Alternative Titles

Full title

Learning deep architectures for the interpretation of first-trimester fetal echocardiography (LIFE) - a study protocol for developing an automated intelligent decision support system for early fetal echocardiography

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_0a906ead15994ae988352b1f9e4ce631

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0a906ead15994ae988352b1f9e4ce631

Other Identifiers

ISSN

1471-2393

E-ISSN

1471-2393

DOI

10.1186/s12884-022-05204-x

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