A reconstruction-based error reflection strategy plus multi-scale mixing improves semi-supervised echocardiography segmentation by roughly 1 Dice point over BCP and DCNet at 1% and 5% labeled data.
Decoupled consistency for semi-supervised medical image segmentation,
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A Semi-Supervised Approach with Error Reflection for Echocardiography Segmentation
A reconstruction-based error reflection strategy plus multi-scale mixing improves semi-supervised echocardiography segmentation by roughly 1 Dice point over BCP and DCNet at 1% and 5% labeled data.