Keywords: Neurodegeneration, Neurodegeneration, Brain age, Partition modelingThis study aimed to develop and construct a MRI-based full-age-range brain age prediction model that can be applied in the Chinese health care system. We proposed a brain age prediction method based on transfer learning and partition modeling , which was using Atlas attention enhancement. The performance of models with different image masks were compared and the model constructed based on top60% image mask achieved the best prediction performance. The brain age prediction method proposed in this study can provide objective brain age for assessing brain health status in Chinese population.
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