Anomaly Detection for Medical Images Using Teacher-Student Model with Skip Connections and Multi-scale Anomaly Consistency
Mingxuan Liu,
Yunrui Jiao,
Jingqiao Lu
et al.
Abstract:<p>Anomaly detection (AD) in medical images aims to recognize test-time abnormal inputs according to normal samples in the training set. Knowledge distillation based on the teacher-student (T-S) model is a simple and effective method to identify anomalies, yet its efficacy is constrained by the similarity between teacher and student network architectures. To address this problem, in this paper, we propose a T-S model with skip connections (Skip-TS) which is trained by direct reverse knowledge distillat… Show more
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