Deep learning for predicting future lesion emergence in high-risk breast MRI screening: a feasibility study
Abstract Background International societies have issued guidelines for high-risk breast cancer (BC) screening, recommending contrast-enhanced magnetic resonance imaging (CE-MRI) of the breast as a supplemental diagnostic tool. In our study, we tested the applicability of deep learning-based anomaly...
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| Автори: | , , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
SpringerOpen
2023-06-01
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| Серія: | European Radiology Experimental |
| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1186/s41747-023-00343-y |
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