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Multi-modality Canonical Feature Selection for Alzheimer’s Disease Diagnosis

Feature selection has been commonly regarded as an effective method to lessen the problem of high dimension and low sample size in medical image analysis. In this paper, we propose a novel multimodality canonical feature selection method. Unlike the conventional sparse Multi-Task Learning (MTL) base...

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發表在:Med Image Comput Comput Assist Interv
Main Authors: Zhu, Xiaofeng, Suk, Heung-Il, Shen, Dinggang
格式: Artigo
語言:Inglês
出版: 2014
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC4465097/
https://ncbi.nlm.nih.gov/pubmed/25485375
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