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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...
Uloženo v:
| Vydáno v: | Biomed Opt Express |
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| Hlavní autoři: | , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Optical Society of America
2017
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| Témata: | |
| On-line přístup: | 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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