Abstract: Label noise in medical image classification datasets significantly hampers the training of supervised deep learning methods, undermining their generalizability. The test performance of a ...

Abstract: In semi-supervised medical image segmentation, current methods typically generate pseudo labels at a fixed scale and refine them without sufficient attention to boundary regions. Such ...