E-viri
Recenzirano
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Sun, Changjian; Guo, Shuxu; Zhang, Huimao; Li, Jing; Chen, Meimei; Ma, Shuzhi; Jin, Lanyi; Liu, Xiaoming; Li, Xueyan; Qian, Xiaohua
Artificial intelligence in medicine, 11/2017, Letnik: 83Journal Article
Highlights • The multi-channel fully convolutional networks is designed. • We segment liver tumors from multiphase contrast-enhanced CT images. • We train one network for each phase of CT images and fuse their high-layer features together. • This method can make full use of the characteristics of different enhancement phases of CT images. • The results showed our model provided greater accuracy and robustness than previous methods.
