Abstract #4727

Automated intervertebral disc segmentation using a two-pathway network

Fei Gao¹, Shui Liu², Xiaodong Zhang², Jue Zhang^1,3, and Xiaoying Wang^2,3

¹College of Engineering, Peking University, Beijing, China, ²Department of Radiology, Peking University First Hospital, Beijing, China, ³Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China

We developed a two-pathway fully convolutional network for refined intervertebral disc segmentation. The proposed pooling free subbranch can capture more local fine-grained features. The quantitative results indicate its priority for disc segmentation.

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.