Web: http://arxiv.org/abs/2203.01324

June 17, 2022, 1:13 a.m. | Yicheng Wu, Zhonghua Wu, Qianyi Wu, Zongyuan Ge, Jianfei Cai

cs.CV updates on arXiv.org arxiv.org

Semi-supervised segmentation remains challenging in medical imaging since the
amount of annotated medical data is often limited and there are many blurred
pixels near the adhesive edges or low-contrast regions. To address the issues,
we advocate to firstly constrain the consistency of samples with and without
strong perturbations to apply sufficient smoothness regularization and further
encourage the class-level separation to exploit the unlabeled ambiguous pixels
for the model training. Particularly, in this paper, we propose the SS-Net for
semi-supervised medical …

arxiv image medical segmentation semi-supervised

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