Depressive disorder is a common neuropsychological disease,but the objective diagnostic criteria mains lack up till now.MRI can provide plenty information of brain structures,white matter fiber bundles as well as resting-state or task-related brain functions,etc.Radiomics and machine learning(ML)based on MRI can help to establish personalized diagnosis models of depression disorder.The research progresses of radiomics and ML based on MRI for diagnosing depressive disorder were reviewed in this article.
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