2990
Deep Learning 3D Convolutional Neural Network for Noninvasive Evaluation of Pathologic Grade of HCC Using Contrast-enhanced MRI
Ying Zhao1, Han Wen2,3, Ailian Liu1, Yu Yao2,3, Tao Lin1, Qingwei Song1, Xin Li4, Yan Guo4, and Tingfan Wu4
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Chengdu Institute of CoChinese Academy of Sciences, Chengdu, China, 3University of Chinese Academy of Sciences, Beijing, China, 4GE Healthcare (China), Shanghai, China
3D-CNN based on CE-MR images was demonstrated to be capable to evaluate pathologic grade of HCC treated with surgical resection, which will provide more prognostic information and facilitate clinical management.
Table 1. The architecture of ResNet-50
Figure 2. The feature extraction process of ResNet-50.