Abstract #4873

Generated data can boost the recognition performance for Intervertebral disc herniation

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

Although deep convolutional neural network has shown encouraging performance regarding lesion classification, it is limited due to the high requirement of data labeling. In this study, we attempted to improve the recognition performance under limited labeled data using generated data for lumbar intervertebral disc herniation classification.

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