ECONet: Efficient Convolutional Online Likelihood Network for Scribble-based Interactive Segmentation. (arXiv:2201.04584v1 [eess.IV])

Automatic segmentation of lung lesions associated with COVID-19 in CT images
requires large amount of annotated volumes. Annotations mandate expert
knowledge and are time-intensive to obtain through fully manual segmentation
methods. Additionally, lung lesions have large inter-patient variations, with
some pathologies having similar visual appearance as healthy lung tissues. This
poses a challenge when applying existing semi-automatic interactive
segmentation techniques for data labelling. To address these challenges, we
propose an efficient convolutional neural networks (CNNs) that can be learned
online …

arxiv interactive network segmentation