基于深度学习的大脑性别差异分析

doi:10.11959/issn.2096-0271.2021043

Abstract

Abstract:

Deep learning is widely used in brain related research.A deep learning model was constructed to classify the fraction anisotropy of the diffusion tensor imaging data.And the important features of different genders were extracted through the deep learning feature visualization method.Finally the visualization results were analyzed based on voxels.The results show that the proposed model can accurately predict gender and achieve a classification accuracy of 96.2%.In the visualized results, it is found that there are obvious differences between the brains of men and women.The brain regions with differences are mainly manifested in the corpus callosum, inferior parietal lobule and basal ganglia.These brain regions reveal that the brain differences between men and women may be related to exercise ability, mathematical operations, body image perception, and emotional changes.

Key words: deep learning, diffusion tensor imaging, gender classification, feature visualization

CLC Number:

TP399

Jingxi WEN, Hufei YU, Jiang XIN, Yan TANG. Analysis of gender differences in the brain based on deep learning[J]. Big Data Research, 2021, 7(4): 130-140.

Figures/Tables 6

References 39

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