轻量化AD-Net模型用于颅内肿瘤MRI图像的分类研究

向朝, 随力, 张昊天, 段梦雨, 刘卓睿

A Lightweight AD-Net Model for the Classification of Intracranial Tumors in MRI Images

XIANG Zhao, SUI Li, ZHANG Haotian, DUAN Mengyu, LIU Zhuorui

表2 消融实验结果

Table 2 Ablation study results

模型名称 准确率(Accracy) 精确率(Precision) 召回率(Recall) F1分数(F1 Score) Kappa ResNet50 0.9362 0.9251 0.9331 0.9434 0.9325 ResNet50+Channel Attention 0.9519 0.9369 0.9550 0.9552 0.9484 ResNet50+Dynamic Convolution 0.9601 0.9553 0.9433 0.9565 0.9526 AD-Net 0.9747 0.9693 0.9685 0.9683 0.9773