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Learning Generalizable Recurrent Neural Networks from Small Task-fMRI Datasets
Deep learning has become the new state-of-the-art for many problems in image analysis. However, large datasets are often required for such deep networks to learn effectively. This poses a difficult challenge for many medical image analysis problems in which only a small number of subjects are availa...
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| Pubblicato in: | Med Image Comput Comput Assist Interv |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6411297/ https://ncbi.nlm.nih.gov/pubmed/30873514 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-00931-1_38 |
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