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A deep learning segmentation strategy that minimizes the amount of manually annotated images
Deep learning has revolutionized the automatic processing of images. While deep convolutional neural networks have demonstrated astonishing segmentation results for many biological objects acquired with microscopy, this technology's good performance relies on large training datasets. In this pa...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
F1000 Research Limited
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8787559/ https://www.ncbi.nlm.nih.gov/pubmed/35136569 http://dx.doi.org/10.12688/f1000research.52026.2 |