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- W3113730769 abstract "<ns3:p>Myelin is an essential component of the nervous system and myelin damage causes demyelination diseases. Myelin is a sheet of oligodendrocyte membrane wrapped around the neuronal axon. In the fluorescent images, experts manually identify myelin by co-localization of oligodendrocyte and axonal membranes that fit certain shape and size criteria. Because myelin wriggles along x-y-z axes, machine learning is ideal for its segmentation. However, machine-learning methods, especially convolutional neural networks (CNNs), require a high number of annotated images, which necessitates expert labor. To facilitate myelin annotation, we developed a workflow and a software for myelin ground truth extraction from multi-spectral fluorescent images. Additionally, we shared a set of myelin ground truths annotated using this workflow.</ns3:p>" @default.
- W3113730769 created "2021-01-05" @default.
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- W3113730769 date "2020-12-21" @default.
- W3113730769 modified "2023-10-17" @default.
- W3113730769 title "A multi-spectral myelin annotation tool for machine learning based myelin quantification" @default.
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- W3113730769 doi "https://doi.org/10.12688/f1000research.27139.1" @default.
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