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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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書目詳細資料
發表在: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
格式: Artigo
語言:Inglês
出版: Springer Berlin Heidelberg 2020
主題:
在線閱讀: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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