2020 42nd Annual International Conference of the IEEE Engineering in Medicine &Amp; Biology Society (EMBC) 2020
DOI: 10.1109/embc44109.2020.9175974
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Single-axon level automatic segmentation and feature extraction from immuhistochemical images of peripheral nerves

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Cited by 5 publications
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“…Furthermore, high-content analysis and implementation of segmentation methods helps to minimize selection-bias by the examiner. Segmentation techniques and analysis applying deep learning algorithms have been applied not only in SLML applications, but also on rodent and porcine peripheral nerve and human healthy CNS cross sections (56,(83)(84)(85)(86). Here, we could implement automated segmentation on murine healthy samples, and integrate image segmentation in the analysis of human histopathological samples, though not in a fully automated-manner.…”
Section: Super-resolution Imaging Visualizes the Link Of Paranodalmentioning
confidence: 99%
“…Furthermore, high-content analysis and implementation of segmentation methods helps to minimize selection-bias by the examiner. Segmentation techniques and analysis applying deep learning algorithms have been applied not only in SLML applications, but also on rodent and porcine peripheral nerve and human healthy CNS cross sections (56,(83)(84)(85)(86). Here, we could implement automated segmentation on murine healthy samples, and integrate image segmentation in the analysis of human histopathological samples, though not in a fully automated-manner.…”
Section: Super-resolution Imaging Visualizes the Link Of Paranodalmentioning
confidence: 99%