CTImage Segmentation of Traumatic Brain Injury Patients Based on Attention Mechanism and Deep Learning
CT brain tissue image segmentation plays an important auxiliary role in the clinical diagnosis and treat-ment of patients with craniocerebral trauma.Based on this,the study introduces a deep-learning-based V-Net model for brain tissue positioning,and also introduces an attention mechanism to realize accurate segmentation of brain tissue images.The results show that the Dice index of the segmentation model reached 99.81％.Meanwhile,the highest precision rate and recall rate of the segmentation model reached 99.38％and 99.84％,respectively.It shows that the proposed algorithm has significant performance advantages and good practical application effect,and provides reliable technical support for brain diagnosis and treatment of patients with brain trauma.
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