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Machine learning in cardiovascular radiology: ESCR position statement on design requirements, quality assessment, current applications, opportunities, and challenges

ABSTRACT: Machine learning offers great opportunities to streamline and improve clinical care from the perspective of cardiac imagers, patients, and the industry and is a very active scientific research field. In light of these advances, the European Society of Cardiovascular Radiology (ESCR), a non...

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Bibliografiske detaljer
Udgivet i:Eur Radiol
Main Authors: Weikert, Thomas, Francone, Marco, Abbara, Suhny, Baessler, Bettina, Choi, Byoung Wook, Gutberlet, Matthias, Hecht, Elizabeth M., Loewe, Christian, Mousseaux, Elie, Natale, Luigi, Nikolaou, Konstantin, Ordovas, Karen G., Peebles, Charles, Prieto, Claudia, Salgado, Rodrigo, Velthuis, Birgitta, Vliegenthart, Rozemarijn, Bremerich, Jens, Leiner, Tim
Format: Artigo
Sprog:Inglês
Udgivet: Springer Berlin Heidelberg 2020
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8128798/
https://ncbi.nlm.nih.gov/pubmed/33211147
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00330-020-07417-0
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