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Risk of data leakage in estimating the diagnostic performance of a deep-learning-based computer-aided system for psychiatric disorders
Deep-learning approaches with data augmentation have been widely used when developing neuroimaging-based computer-aided diagnosis (CAD) systems. To prevent the inflated diagnostic performance caused by data leakage, a correct cross-validation (CV) method should be employed, but this has been still o...
| 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/PMC10547830/ https://www.ncbi.nlm.nih.gov/pubmed/37789047 http://dx.doi.org/10.1038/s41598-023-43542-8 |