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4 PMAF-Net在脑动脉瘤最大径不同分组上的分类性能

Table 4 Classification performance of PMAF-Net on different groups based on maximum diameter of cerebral aneurysms

亚组分析 Subgroup analysis 准确率 Accuracy 召回率 Recall 精确率 Precision F1分数 F1_Score 总体性能 83.97% 84.48% 80.33% 0.8235 按最大径划分 小型动脉瘤（47） 80.85% 77.78% 50.00% 0.6087 中型动脉瘤（81） 85.19% 84.78% 88.64% 0.8667 大型动脉瘤（3） 100.00% 100.00% 100.00% 1.0000