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Multi-Modality Microscopy Image Style Augmentation for Nuclei Segmentation
Annotating microscopy images for nuclei segmentation by medical experts is laborious and time-consuming. To leverage the few existing annotations, also across multiple modalities, we propose a novel microscopy-style augmentation technique based on a generative adversarial network (GAN). Unlike other...
Autores principales: | Liu, Ye, Wagner, Sophia J., Peng, Tingying |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8948875/ https://www.ncbi.nlm.nih.gov/pubmed/35324626 http://dx.doi.org/10.3390/jimaging8030071 |
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