Log in to save to my catalogue

Deep-learning system to improve the quality and efficiency of volumetric heart segmentation for brea...

Deep-learning system to improve the quality and efficiency of volumetric heart segmentation for brea...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8becf93bb4f941d09c80914e23c4335a

Deep-learning system to improve the quality and efficiency of volumetric heart segmentation for breast cancer

About this item

Full title

Deep-learning system to improve the quality and efficiency of volumetric heart segmentation for breast cancer

Publisher

London: Nature Publishing Group UK

Journal title

NPJ digital medicine, 2021-03, Vol.4 (1), p.43-43, Article 43

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Although artificial intelligence algorithms are often developed and applied for narrow tasks, their implementation in other medical settings could help to improve patient care. Here we assess whether a deep-learning system for volumetric heart segmentation on computed tomography (CT) scans developed in cardiovascular radiology can optimize treatmen...

Alternative Titles

Full title

Deep-learning system to improve the quality and efficiency of volumetric heart segmentation for breast cancer

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_8becf93bb4f941d09c80914e23c4335a

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8becf93bb4f941d09c80914e23c4335a

Other Identifiers

ISSN

2398-6352

E-ISSN

2398-6352

DOI

10.1038/s41746-021-00416-5

How to access this item