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Fully automated detection of breast cancer in screening MRI using convolutional neural networks
Current computer-aided detection (CADe) systems for contrast-enhanced breast MRI rely on both spatial information obtained from the early-phase and temporal information obtained from the late-phase of the contrast enhancement. However, late-phase information might not be available in a screening set...
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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
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5763014/ https://ncbi.nlm.nih.gov/pubmed/29340287 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.5.1.014502 |
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