Abstract #0252

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

Shui Liu¹, Fei Gao², Xiaodong Zhang¹, Jue Zhang^2,3, Xiaoying Wang^1,3, and Jing Fang^2,3

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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