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3D fluorescence microscopy data synthesis for segmentation and benchmarking
Automated image processing approaches are indispensable for many biomedical experiments and help to cope with the increasing amount of microscopy image data in a fast and reproducible way. Especially state-of-the-art deep learning-based approaches most often require large amounts of annotated traini...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8639001/ https://www.ncbi.nlm.nih.gov/pubmed/34855812 http://dx.doi.org/10.1371/journal.pone.0260509 |