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URL: http://www.nitrc.org/projects/pare/
Proper Citation: M3 (RRID:SCR_002475)
Description: A brain imaging classification tool, which can help researchers to discriminate patients from normal controls. The M3 includes three steps: feature selection, maximum uncertainty linear discriminant analysis (MLDA)-based classification and multi-classifier. A leave-one-out cross-validation (LOOCV) is further used to estimate the performance of the M3. Finally, the most discriminative features are identified.
Abbreviations: M3
Synonyms: Multi-modal imaging and multi-level characteristic with multi-classifier
Resource Type: data processing software, software resource, image processing software, software application
Defining Citation: PMID:22008370
Keywords: magnetic resonance
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