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.

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