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How intra-source imbalanced datasets impact the performance of deep learning for COVID-19 diagnosis using chest X-ray images
Over the past decade, the use of deep learning has been widely increasing in the medical image diagnosis field. Deep learning-based methods’ (DLMs) performance strongly relies on training data. Therefore, researchers often focus on collecting as much data as possible from different medical facilitie...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10624834/ https://www.ncbi.nlm.nih.gov/pubmed/37923762 http://dx.doi.org/10.1038/s41598-023-45368-w |