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Efficient end-to-end learning for cell segmentation with machine generated weak annotations
Automated cell segmentation from optical microscopy images is usually the first step in the pipeline of single-cell analysis. Recently, deep-learning based algorithms have shown superior performances for the cell segmentation tasks. However, a disadvantage of deep-learning is the requirement for a l...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9981753/ https://www.ncbi.nlm.nih.gov/pubmed/36864076 http://dx.doi.org/10.1038/s42003-023-04608-5 |