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Yan-Min Luo

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Open access Sep 2026

A semi-supervised computer-aided diagnosis network for reducing clinical annotation burden under limited annotation

Results indicate that FFT-EMatch can effectively improve pseudo-label reliability and boundary-aware representation learning under limited annotation settings, highlighting its promise for annotation-efficient medical image segmentation and its potential applicability in practical medical image analysis scenarios.

Neng-Zhao Luo, Yan-Min Luo, Yu-Tian Lin et al. · 0 citations

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