Segmentation-guided knowledge distillation framework for interpretable breast cancer classification
Abstract Despite the great advances in the clinical diagnosing system, breast cancer is still the most common and fatal disease to woman all over the world, which indicates that there is still a urgent demand of precise and explainable diagnosis system. In this work, we propose a segmentation-guided...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Springer
2026-04-01
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| Series: | Discover Applied Sciences |
| Assuntos: | |
| Acceso en liña: | https://doi.org/10.1007/s42452-026-08618-w |
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