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Deep convolutional neural networks for mammography: advances, challenges and applications
BACKGROUND: The limitations of traditional computer-aided detection (CAD) systems for mammography, the extreme importance of early detection of breast cancer and the high impact of the false diagnosis of patients drive researchers to investigate deep learning (DL) methods for mammograms (MGs). Recen...
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| Publicado no: | BMC Bioinformatics |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6551243/ https://ncbi.nlm.nih.gov/pubmed/31167642 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-2823-4 |
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