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A deep feature fusion methodology for breast cancer diagnosis demonstrated on three imaging modality datasets
BACKGROUND: Deep learning methods for radiomics/computer‐aided diagnosis (CADx) are often prohibited by small datasets, long computation time, and the need for extensive image preprocessing. AIMS: We aim to develop a breast CADx methodology that addresses the aforementioned issues by exploiting the...
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| Publicado no: | Med Phys |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
John Wiley and Sons Inc.
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5646225/ https://ncbi.nlm.nih.gov/pubmed/28681390 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.12453 |
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