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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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| 發表在: | Eur Radiol |
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| Main Authors: | , , , , , , , , , , , , , , , , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Springer Berlin Heidelberg
2020
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| 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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