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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...
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| 發表在: | Sci Rep |
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| Main Authors: | , , , , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Nature Publishing Group UK
2019
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6892824/ https://ncbi.nlm.nih.gov/pubmed/31797882 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-54244-5 |
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