Eigenanatomy: Sparse dimensionality reduction for multi-modal medical image analysis
نویسندگان
چکیده
منابع مشابه
Eigenanatomy: sparse dimensionality reduction for multi-modal medical image analysis.
Rigorous statistical analysis of multimodal imaging datasets is challenging. Mass-univariate methods for extracting correlations between image voxels and outcome measurements are not ideal for multimodal datasets, as they do not account for interactions between the different modalities. The extremely high dimensionality of medical images necessitates dimensionality reduction, such as principal ...
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ژورنال
عنوان ژورنال: Methods
سال: 2015
ISSN: 1046-2023
DOI: 10.1016/j.ymeth.2014.10.016