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Automated Segmentation of Hyperintense Regions in FLAIR MRI Using Deep Learning
We present a deep convolutional neural network application based on autoencoders aimed at segmentation of increased signal regions in fluid-attenuated inversion recovery magnetic resonance imaging images. The convolutional autoencoders were trained on the publicly available Brain Tumor Image Segment...
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| Publicat a: | Tomography |
|---|---|
| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Grapho Publications, LLC
2016
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5215737/ https://ncbi.nlm.nih.gov/pubmed/28066806 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.18383/j.tom.2016.00166 |
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