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DeepSynth: Three-dimensional nuclear segmentation of biological images using neural networks trained with synthetic data
The scale of biological microscopy has increased dramatically over the past ten years, with the development of new modalities supporting collection of high-resolution fluorescence image volumes spanning hundreds of microns if not millimeters. The size and complexity of these volumes is such that qua...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6892824/ https://www.ncbi.nlm.nih.gov/pubmed/31797882 http://dx.doi.org/10.1038/s41598-019-54244-5 |