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1 训练验证集、测试集样本分布情况(例)
Tab. 1 Distribution of training validation dataset and testing dataset
组别性别年龄/岁损伤类型合计
男性女性最大最小xˉ±s加速性损伤减速性损伤正常颅脑
合计2516997743.53±16.7410981130320
训练验证集1794597743.57±16.68806381224
测试集7224841144.35±16.7029184996