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Anatomically-Informed Data Augmentation for Functional MRI with Applications to Deep Learning
The application of deep learning to build accurate predictive models from functional neuroimaging data is often hindered by limited dataset sizes. Though data augmentation can help mitigate such training obstacles, most data augmentation methods have been developed for natural images as in computer...
שמור ב:
| הוצא לאור ב: | Proc SPIE Int Soc Opt Eng |
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| Main Authors: | , , , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
2020
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7990266/ https://ncbi.nlm.nih.gov/pubmed/33767520 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/12.2548630 |
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