基于深度学习的颅脑损伤机制自动化鉴别

杨琦帆, 孙雪阳, 王彦斌, 田志岭, 董贺文, 万雷, 邹冬华, 于笑天, 张广政, 刘宁国

Automatic Identification of Brain Injury Mechanism Based on Deep Learning

Qi-fan YANG, Xue-yang SUN, Yan-bin WANG, Zhi-ling TIAN, He-wen DONG, Lei WAN, Dong-hua ZOU, Xiao-tian YU, Guang-zheng ZHANG, Ning-guo LIU

表2 Inception_v3模型在测试集中的分类结果 (%)

Tab. 2 The classification results of Inception_v3 in the testing dataset

类别 精确率 召回率 F1值 加速性损伤 84.38 90.00 87.10 正常颅脑 88.57 89.86 89.21 减速性损伤 86.67 72.22 78.79