Machine learning enables non-Gaussian investigation of changes to peripheral nerves related to electrical stimulation.
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ABSTRACT:
SUBMITTER: Morales AW
PROVIDER: S-EPMC10837107 | biostudies-literature | 2024 Feb
REPOSITORIES: biostudies-literature
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Machine learning enables non-Gaussian investigation of changes to peripheral nerves related to electrical stimulation.
Morales Andres W AW Du Jinze J Warren David J DJ Fernández-Jover Eduardo E Martinez-Navarrete Gema G Bouteiller Jean-Marie C JC McCreery Douglas C DC Lazzi Gianluca G
Scientific reports 20240202 1
Electrical stimulation of the peripheral nervous system (PNS) is becoming increasingly important for the therapeutic treatment of numerous disorders. Thus, as peripheral nerves are increasingly the target of electrical stimulation, it is critical to determine how, and when, electrical stimulation results in anatomical changes in neural tissue. We introduce here a convolutional neural network and support vector machines for cell segmentation and analysis of histological samples of the sciatic ner ...[more]
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