Biomarker mining method based on multi-atlas neuroimaging data
A biomarker and multi-atlas technology, which is applied in the field of biomarker mining based on multi-atlas neuroimaging data, can solve the problems of inability to consider sample weight information, multi-atlas information, wrong diagnosis and classification of Alzheimer's disease, etc. To achieve the effect of reducing the fine-tuning process and stable performance
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[0043] The method for mining biomarkers based on multi-atlas neuroimaging data in this embodiment uses WILL's multi-atlas neuroimaging feature selection method to mine biomarkers, and then uses multi-core support vector machines for fusion classification. The specific steps as follows:
[0044] The first step, multi-atlas neuroimaging data preprocessing:
[0045] The entire brain of the sample is scanned by functional magnetic resonance to obtain the change value of the blood oxygen level-dependent signal of the entire brain region over a period of time, and then the sample data is registered to the three brain atlases to obtain the functions of the three brain atlases Magnetic resonance imaging data, and construct a functional brain network through the Pearson correlation coefficient; the three brain atlases are: Brainnetome atlas divides the brain into 263 brain regions, Power atlas divides the brain into 264 brain regions, and Stanford atlas divides the brain into For 470 ...
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