Tracking cell lineages in 3D by incremental deep learning
Deep learning is emerging as a powerful approach for bioimage analysis. Its use in cell tracking is limited by the scarcity of annotated data for the training of deep-learning models. Moreover, annotation, training, prediction, and proofreading currently lack a unified user interface. We present ELE...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
eLife Sciences Publications Ltd
2022-01-01
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| Series: | eLife |
| Subjects: | |
| Online Access: | https://elifesciences.org/articles/69380 |