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Impact of train/test sample regimen on performance estimate stability of machine learning in cardiovascular imaging
As machine learning research in the field of cardiovascular imaging continues to grow, obtaining reliable model performance estimates is critical to develop reliable baselines and compare different algorithms. While the machine learning community has generally accepted methods such as k-fold stratif...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8280147/ https://www.ncbi.nlm.nih.gov/pubmed/34262098 http://dx.doi.org/10.1038/s41598-021-93651-5 |