融合注意力机制和空洞卷积的3D ELD_MobileNetV2在肝结节分类中的应用

孙灏芸, 王丽嘉

Application of 3D ELD_MobileNetV2 Incorporating Attention Mechanism and Dilated Convolution in Hepatic Nodules Classification

SUN Haoyun, WANG Lijia

表3 消融实验结果

Table 3 Results of the ablation experiments

MobileNetV2 L_MobileNetV2 IECA_MobileNetV2 DC_MobileNetV2 ELD_MobileNetV2 C0 Precision 0.588 0.688 0.750 0.609 0.786 Recall 0.556 0.611 0.667 0.778 0.611 F1_Score 0.571 0.647 0.706 0.683 0.688 C1 Precision 0.611 0.600 0.684 0.706 0.682 Recall 0.611 0.667 0.722 0.667 0.833 F1_Score 0.611 0.632 0.703 0.686 0.750 C2 Precision 0.762 0.824 0.750 0.812 0.933 Recall 0.889 0.778 0.833 0.722 0.778 F1_Score 0.821 0.800 0.789 0.765 0.848 C3 Precision 0.875 0.842 0.882 0.938 0.810 Recall 0.778 0.889 0.833 0.833 0.944 F1_Score 0.824 0.865 0.857 0.882 0.872 总体 Precision 0.709 0.739 0.767 0.766 0.803 Recall 0.709 0.736 0.764 0.750 0.792 F1_Score 0.709 0.737 0.765 0.758 0.797 Accuracy 0.708 0.736 0.764 0.750 0.792