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Abstract #0252

Automated Grading of Lumbar Disc Degeneration Using T-test Regularized Network

Shui Liu1, Fei Gao2, Xiaodong Zhang1, Jue Zhang2,3, Xiaoying Wang1,3, and Jing Fang2,3
1Department of Radiology, Peking University First Hospital, Beijing, China, 2College of Engineering, Peking University, Beijing, China, 3Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China

To enrich the representation capability of the CNN model and achieve more accurate lumbar disc degeneration grading, inspired by student T-test in statistics, we propose a T-test regularization strategy focusing on pushing away different categories from each other in feature space.

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