Coronary X-ray angiography segmentation using Artificial Intelligence: a multicentric validation study of a deep learning model

• Autor(a) principal: Menezes, Miguel Nobre
• Data de Publicação: 2023
• Outros Autores: Silva, João Lourenço, Valente Silva, Beatriz, Rodrigues, Tiago, Guerreiro, Cláudio, Guedes, João Pedro, Santos, Manuel Oliveira, Oliveira, Arlindo L., Pinto, Fausto J.
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10451/57068
• topic: Artificial Intelligence; Coronary angiography; Coronary artery disease; Deep learning; Machine learning; Percutaneous coronary intervention

© The Author(s) 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons. org/licenses/by/4.0/.