An attention-based transfer learning framework for breast cancer classification in mammography under limited data conditions
Breast cancer is a leading cause of death for women worldwide. There is a critical need for an early and accurate diagnosis to improve survival rates. This study evaluates the performance of transfer learning-based MobileNetV2 and ResNet50 architectures for binary breast cancer classification using...
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| Principais autores: | , |
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| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Frontiers Media S.A.
2026-07-01
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| 叢編: | Frontiers in Medical Technology |
| 主題: | |
| 在線閱讀: | https://www.frontiersin.org/articles/10.3389/fmedt.2026.1842859/full |
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