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Scribble2D5: Weakly-Supervised Volumetric Image Segmentation via Scribble Annotations. (arXiv:2205.06779v1 [cs.CV])
May 16, 2022, 1:10 a.m. | Qiuhui Chen, Yi Hong
cs.CV updates on arXiv.org arxiv.org
Recently, weakly-supervised image segmentation using weak annotations like
scribbles has gained great attention, since such annotations are much easier to
obtain compared to time-consuming and label-intensive labeling at the
pixel/voxel level. However, because scribbles lack structure information of
region of interest (ROI), existing scribble-based methods suffer from poor
boundary localization. Furthermore, most current methods are designed for 2D
image segmentation, which do not fully leverage the volumetric information if
directly applied to image slices. In this paper, we propose a …
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