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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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Bibliographic Details
Published in:Med Image Comput Comput Assist Interv
Main Authors: Hu, Dan, Zhang, Han, Wu, Zhengwang, Lin, Weili, Li, Gang, Shen, Dinggang
Format: Artigo
Language:Inglês
Published: 2019
Subjects:
Online Access: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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