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Magnetic resonance imaging (MRI) is an important method to evaluate the occurrence, development, and severity of CSVD. However, the diagnostic process lacks quantitative evaluation criteria and is limited by experience, which may easily lead to missed diagnoses and misdiagnoses. With the development of artificial intelligence technology based on deep learning, the extraction of high\u2010dimensional features in imaging can assist doctors in clinical decision\u2010making, and it has been widely used in brain function and mental disorders, and cardiovascular and cerebrovascular diseases. 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