Self-supervised machine learning for live cell imagery segmentation
A self-supervised learning approach uses cellular motion between consecutive images to self-train a machine learning classifier for cell segmentation.
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-11-01
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| Series: | Communications Biology |
| Online Access: | https://doi.org/10.1038/s42003-022-04117-x |