基于DenseNet结合迁移学习的胰腺囊性肿瘤分类方法

田慧,武杰,边云,张志伟,邵成伟

Classification of Pancreatic Cystic Tumors Based on DenseNet and Transfer Learning

TIAN Hui,WU Jie,BIAN Yun,ZHANG Zhiwei,SHAO Chengwei

表4 不同深度学习模型应用于MCN和SCN识别的实验结果

Table 4 Experimental results of MCN and SCN recognition by different deep learning models

模型 ACC Precision Recall Specificity F1-Score AUC 参数量 AlexNet 0.844 0.846 0.842 0.847 0.844 0.930 6100840 MobileNet_v3 0.889 0.894 0.884 0.895 0.889 0.960 5483032 Vgg16 0.898 0.907 0.886 0.909 0.896 0.966 138365992 ResNet50 0.912 0.923 0.898 0.926 0.910 0.971 25557032 本文 0.943 0.938 0.949 0.937 0.943 0.989 28681000