Neng-Zhao Luo

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.