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A novel federated deep learning scheme for glioma and its subtype classification
BACKGROUND: Deep learning (DL) has shown promising results in molecular-based classification of glioma subtypes from MR images. DL requires a large number of training data for achieving good generalization performance. Since brain tumor datasets are usually small in size, combination of such dataset...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10242007/ https://www.ncbi.nlm.nih.gov/pubmed/37287799 http://dx.doi.org/10.3389/fnins.2023.1181703 |