基于3D ResNet50改进模型的TOF-MRA脑动脉瘤分类方法

薛培阳, 耿辰, 李郁欣, 鲍奕仿, 鲁宇澄, 戴亚康

A Classification Method for Cerebral Aneurysms in TOF-MRA Based on Improved 3D ResNet50 Model

XUE Peiyang, GENG Chen, LI Yuxin, BAO Yifang, LU Yucheng, DAI Yakang

表3 模型在不同类型动脉瘤上的分类性能

Table 3 Classification performance of the model on different types of aneurysms

类别 Category 精确率 Precision 召回率 Recall F1分数 F1_Score 子瘤型动脉瘤（有子瘤） 80.33% 84.48% 0.8235 正常动脉瘤（无子瘤） 87.14% 83.56% 0.8531 平均 83.74% 84.02% 0.8383