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Deep Granular Feature-Label Distribution Learning for Neuroimaging-based Infant Age Prediction
Neuroimaging-based infant age prediction is important for brain development analysis but often suffers insufficient data. To address this challenge, we introduce label distribution learning (LDL), a popular machine learning paradigm focusing on the small sample problem, for infant age prediction. As...
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| Publicado no: | Med Image Comput Comput Assist Interv |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7074927/ https://ncbi.nlm.nih.gov/pubmed/32181449 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-32251-9_17 |
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