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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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Bibliografske podrobnosti
izdano v:Biomed Opt Express
Main Authors: Yi, Faliu, Moon, Inkyu, Javidi, Bahram
Format: Artigo
Jezik:Inglês
Izdano: Optical Society of America 2017
Teme:
Online dostop: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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