Decomposition-based correlation learning for multi-modal mri-based classification of neuropsychiatric disorders

HIGHLIGHTS

• who: Hui Zhang from the College of Information and Management Science, Henan Agricultural University, Zhengzhou, China, Department of have published the research: Decomposition-Based Correlation Learning for Multi-Modal MRI-Based Classification of Neuropsychiatric Disorders, in the Journal: (JOURNAL)
• what: The authors propose a prediction method, called decomposition-based correlation learning (DCL), for the multi-modal MRI-based classification of NDs. The authors attempted to classify NDs using resting-state fMRI images. In the experiments , the authors focused on two aspects of brain connectivity: classifying NDs into different subtypes using fMRI and sMRI data and_ . . .
  

   

  

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