首页|Report Summarizes Machine Learning Study Findings from University of Southern California (USC) (Machine Learning Enables Nongaussian Investigation of Changes To Peripheral Nerves Related To Electrical Stimulation)
Report Summarizes Machine Learning Study Findings from University of Southern California (USC) (Machine Learning Enables Nongaussian Investigation of Changes To Peripheral Nerves Related To Electrical Stimulation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Machine Learning have been presented. According to news reporting out of Los Angeles, California, by NewsRx editors, research stated, "Electrical stimulation of the peripheral nervous system (PNS) is becoming increasingly important for the therapeutic treatment of numerous disorders." Financial supporters for this research include National Institutes of Health (NIH)-USA, NIBIB of the National Institute of Health, Research to Prevent Blindness (RPB). Our news journalists obtained a quote from the research from the University of Southern California (USC), "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 nerve of rats stimulated with varying current intensities."
Los AngelesCaliforniaUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningUniversity of Southern California (USC)
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