A semi-supervised computer-aided diagnosis network for reducing clinical annotation burden under limited annotation
Objective. Recent advances in automatic medical image segmentation have achieved remarkable success; however, most existing approaches still heavily rely on large-scale pixel-level annotations provided by clinicians, making it difficult to effectively alleviate the clinical labeling burden. Semi-supervised medical imag...