Improving the repeatability of deep learning models with Monte Carlo dropout
Abstract The integration of artificial intelligence into clinical workflows requires reliable and robust models. Repeatability is a key attribute of model robustness. Ideal repeatable models output predictions without variation during independent tests carried out under similar conditions. However,...
Kaydedildi:
| Asıl Yazarlar: | , , , , , , , , , |
|---|---|
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Nature Portfolio
2022-11-01
|
| Seri Bilgileri: | npj Digital Medicine |
| Online Erişim: | https://doi.org/10.1038/s41746-022-00709-3 |
| Etiketler: |
Etiket eklenmemiş, İlk siz ekleyin!
|
