A multi-modal deep learning framework for enhanced breast cancer diagnosis using mammograms and clinical data
Abstract The fatality due to breast cancer is one of the most universal causes among women worldwide. The limited interpretation is due to tissue overlapping, high breast density and delicate lesion characteristics even though mammography is the standard screening tool. To overcome this universal ch...
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| Principais autores: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
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Nature Portfolio
2026-05-01
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| Colecção: | Scientific Reports |
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| Acesso em linha: | https://doi.org/10.1038/s41598-026-48085-2 |
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