Dual Multi-scale Mean Teacher Network for Semi-supervised Infection Segmentation in Chest CT Volume for COVID-19. (arXiv:2211.05548v1 [eess.IV])

Automated detecting lung infections from computed tomography (CT) data plays
an important role for combating COVID-19. However, there are still some
challenges for developing AI system. 1) Most current COVID-19 infection
segmentation methods mainly relied on 2D CT images, which lack 3D sequential
constraint. 2) Existing 3D CT segmentation methods focus on single-scale
representations, which do not achieve the multiple level receptive field sizes
on 3D volume. 3) The emergent breaking out of COVID-19 makes it hard to
annotate sufficient …

arxiv covid covid-19 mean network scale segmentation semi-supervised