Crossmark

Development of deep learning segmentation models for coronary X-ray angiography: Quality assessment by a new global segmentation score and comparison with human performance

Crossref DOI link: https://doi.org/10.1016/j.repc.2022.04.001

Published Print: 2022-12

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Nobre Menezes, Miguel

Lourenço-Silva, João

Silva, Beatriz

Rodrigues, Tiago

Francisco, Ana Rita G.

Carrilho Ferreira, Pedro

Oliveira, Arlindo L.

Pinto, Fausto J.
Funding

Funding for this research was provided by:

Universidade de Lisboa
License Information

Text and Data Mining valid from 2022-12-01

Version of Record valid from 2022-04-08
More Information

This article is maintained by: Elsevier

Article Title: Development of deep learning segmentation models for coronary X-ray angiography: Quality assessment by a new global segmentation score and comparison with human performance

Journal Title: Revista Portuguesa de Cardiologia

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.repc.2022.04.001

Content Type: article

Copyright: © 2022 Sociedade Portuguesa de Cardiologia. Published by Elsevier España, S.L.U.

Document is current

Any future updates will be listed below