Meeting Banner
Abstract #2464

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.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.

Keywords