A 3D Fully Convolutional Network with various input dimension for brain extraction in MRI
Xibo Zhang1, Zhe Liu2, Pascal Spincemaille2, and Yi Wang2
1Tsinghua University, Beijing, China, 2Cornell University, New York, NY, United States
A 3D Fully Convolutional
Network is proposed using cascade architecture and combining two different
channels to overcome the low accuracy of traditional methods. The network is
applied to do the brain extraction.
This abstract and the presentation materials are available to members only;
a login is required.