Active contour regularized semi-supervised learning for COVID-19 CT infection segmentation with limited annotations.
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DOI: 10.1088/1361-6560/abc04e
Abstract: Infection segmentation on chest CT plays an important role in the quantitative analysis of COVID-19. Developing automatic segmentation tools in a short period with limited labelled images has become an urgent need. Pseudo label-based semi-supervised… read more here.
Keywords: semi supervised; infection segmentation; contour regularized; segmentation ... See more keywords