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Use of clinical MRI maximum intensity projections for improved breast lesion classification with deep convolutional neural networks
Deep learning methods have been shown to improve breast cancer diagnostic and prognostic decisions based on selected slices of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). However, incorporation of volumetric and temporal components into DCE-MRIs has not been well studied. We prop...
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| Vydáno v: | J Med Imaging (Bellingham) |
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| Hlavní autoři: | , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Society of Photo-Optical Instrumentation Engineers
2018
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5798576/ https://ncbi.nlm.nih.gov/pubmed/29430478 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.5.1.014503 |
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