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Breast lesion classification based on dynamic contrast-enhanced magnetic resonance images sequences with long short-term memory networks
We present a breast lesion classification methodology, based on four-dimensional (4-D) dynamic contrast-enhanced magnetic resonance images (DCE-MRI), using recurrent neural networks in combination with a pretrained convolutional neural network (CNN). The method enables to capture not only the two-di...
Tallennettuna:
| Julkaisussa: | J Med Imaging (Bellingham) |
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| Päätekijät: | , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Society of Photo-Optical Instrumentation Engineers
2018
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6102406/ https://ncbi.nlm.nih.gov/pubmed/30840721 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.6.1.011002 |
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