Data augmented lung cancer prediction framework using the nested case control NLST cohort
PurposeIn the context of lung cancer screening, the scarcity of well-labeled medical images poses a significant challenge to implement supervised learning-based deep learning methods. While data augmentation is an effective technique for countering the difficulties caused by insufficient data, it ha...
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| Автори: | , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Frontiers Media S.A.
2025-02-01
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| Серія: | Frontiers in Oncology |
| Предмети: | |
| Онлайн доступ: | https://www.frontiersin.org/articles/10.3389/fonc.2025.1492758/full |
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