Integrating spatial-anatomical regularization and structure sparsity into SVM: Improving interpretat...
Integrating spatial-anatomical regularization and structure sparsity into SVM: Improving interpretation of Alzheimer's disease classification
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Publisher
United States: Elsevier Inc
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Language
English
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United States: Elsevier Inc
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In recent years, machine learning approaches have been successfully applied to the field of neuroimaging for classification and regression tasks. However, many approaches do not give an intuitive relation between the raw features and the diagnosis. Therefore, they are difficult for clinicians to interpret. Moreover, most approaches treat the featur...
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Integrating spatial-anatomical regularization and structure sparsity into SVM: Improving interpretation of Alzheimer's disease classification
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TN_cdi_proquest_miscellaneous_2045281085
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2045281085
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ISSN
1053-8119
E-ISSN
1095-9572
DOI
10.1016/j.neuroimage.2018.05.051
