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Automatic segmentation of multiple cardiovascular structures from cardiac computed tomography angiog...

Automatic segmentation of multiple cardiovascular structures from cardiac computed tomography angiog...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2399252990

Automatic segmentation of multiple cardiovascular structures from cardiac computed tomography angiography images using deep learning

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

To develop, demonstrate and evaluate an automated deep learning method for multiple cardiovascular structure segmentation.
Segmentation of cardiovascular images is resource-intensive. We design an automated deep learning method for the segmentation of multiple structures from Coronary Computed Tomography Angiography (CCTA) images.
Images from...

Alternative Titles

Full title

Automatic segmentation of multiple cardiovascular structures from cardiac computed tomography angiography images using deep learning

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2399252990

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2399252990

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0232573

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