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Multimodal fusion with deep neural networks for leveraging CT imaging and electronic health record:...

Multimodal fusion with deep neural networks for leveraging CT imaging and electronic health record:...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ba490b3f075f4d0aa5669e0e51d909ba

Multimodal fusion with deep neural networks for leveraging CT imaging and electronic health record: a case-study in pulmonary embolism detection

About this item

Full title

Multimodal fusion with deep neural networks for leveraging CT imaging and electronic health record: a case-study in pulmonary embolism detection

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2020-12, Vol.10 (1), p.22147-22147, Article 22147

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Recent advancements in deep learning have led to a resurgence of medical imaging and Electronic Medical Record (EMR) models for a variety of applications, including clinical decision support, automated workflow triage, clinical prediction and more. However, very few models have been developed to integrate both clinical and imaging data, despite tha...

Alternative Titles

Full title

Multimodal fusion with deep neural networks for leveraging CT imaging and electronic health record: a case-study in pulmonary embolism detection

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_ba490b3f075f4d0aa5669e0e51d909ba

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ba490b3f075f4d0aa5669e0e51d909ba

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-020-78888-w

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