most citedKnowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-rays

6 citations · 6 across the 1 of their papers we have counts for

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1 paper

cs.CV2020★ 6 cited

Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-rays

Yirui Wang, Kang Zheng, Chi-Tung Chang +7

Exploiting available medical records to train high performance computer-aided diagnosis (CAD) models via the semi-supervised learning (SSL) setting is emerging to tackle the prohib…