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Spectral decoupling for training transferable neural networks in medical imaging
Many neural networks for medical imaging generalize poorly to data unseen during training. Such behavior can be caused by overfitting easy-to-learn features while disregarding other potentially informative features. A recent implicit bias mitigation technique called spectral decoupling provably enco...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8816718/ https://www.ncbi.nlm.nih.gov/pubmed/35146385 http://dx.doi.org/10.1016/j.isci.2022.103767 |