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MIPR:Automatic Annotation of Medical Images with Pixel Rearrangement. (arXiv:2204.10513v1 [eess.IV])
April 25, 2022, 1:10 a.m. | Pingping Dai, Haiming Zhu, Shuang Ge, Ruihan Zhang, Xiang Qian, Xi Li, Kehong Yuan
cs.CV updates on arXiv.org arxiv.org
Most of the state-of-the-art semantic segmentation reported in recent years
is based on fully supervised deep learning in the medical domain. How?ever, the
high-quality annotated datasets require intense labor and domain knowledge,
consuming enormous time and cost. Previous works that adopt semi?supervised and
unsupervised learning are proposed to address the lack of anno?tated data
through assisted training with unlabeled data and achieve good perfor?mance.
Still, these methods can not directly get the image annotation as doctors do.
In this paper, …
More from arxiv.org / cs.CV updates on arXiv.org
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