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Deep learning in breast cancer risk assessment: evaluation of convolutional neural networks on a clinical dataset of full-field digital mammograms
To evaluate deep learning in the assessment of breast cancer risk in which convolutional neural networks (CNNs) with transfer learning are used to extract parenchymal characteristics directly from full-field digital mammographic (FFDM) images instead of using computerized radiographic texture analys...
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| Publicado no: | J Med Imaging (Bellingham) |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Society of Photo-Optical Instrumentation Engineers
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5596198/ https://ncbi.nlm.nih.gov/pubmed/28924576 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.4.4.041304 |
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