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Automated red blood cells extraction from holographic images using fully convolutional neural networks
In this paper, we present two models for automatically extracting red blood cells (RBCs) from RBCs holographic images based on a deep learning fully convolutional neural network (FCN) algorithm. The first model, called FCN-1, only uses the FCN algorithm to carry out RBCs prediction, whereas the seco...
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| Опубликовано в: : | Biomed Opt Express |
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| Главные авторы: | , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Optical Society of America
2017
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5654793/ https://ncbi.nlm.nih.gov/pubmed/29082078 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.8.004466 |
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