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Performance change with the number of training data: A case study on the binary classification of COVID-19 chest X-ray by using convolutional neural networks
One of the features of artificial intelligence/machine learning-based medical devices resides in their ability to learn from real-world data. However, obtaining a large number of training data in the early phase is difficult, and the device performance may change after their first introduction into...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Elsevier Ltd.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9749084/ https://www.ncbi.nlm.nih.gov/pubmed/35093727 http://dx.doi.org/10.1016/j.compbiomed.2022.105251 |