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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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Bibliographic Details
Published in:Med Image Comput Comput Assist Interv
Main Authors: Zhu, Xiaofeng, Suk, Heung-Il, Shen, Dinggang
Format: Artigo
Language:Inglês
Published: 2014
Subjects:
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC4465097/
https://ncbi.nlm.nih.gov/pubmed/25485375
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