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Abstract #4873

Generated data can boost the recognition performance for Intervertebral disc herniation

Fei Gao1, Shui Liu2, Xiaodong Zhang2, Jue Zhang1,3, and Xiaoying Wang2,3

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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