Sli2Vol: annotate a 3D volume from a single slice with self-supervised learning
The objective of this work is to segment any arbitrary structures of interest (SOI) in 3D volumes by only annotating a single slice, (i.e. semi-automatic 3D segmentation). We show that high accuracy can be achieved by simply propagating the 2D slice segmentation with an affinity matrix between conse...
| Main Authors: | , |
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| Format: | Conference item |
| Language: | English |
| Published: |
Springer
2021
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