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Structure preserving adversarial generation of labeled training samples for single-cell segmentation
We introduce a generative data augmentation strategy to improve the accuracy of instance segmentation of microscopy data for complex tissue structures. Our pipeline uses regular and conditional generative adversarial networks (GANs) for image-to-image translation to construct synthetic microscopy im...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10545934/ https://www.ncbi.nlm.nih.gov/pubmed/37725984 http://dx.doi.org/10.1016/j.crmeth.2023.100592 |