Mu He is a Staff Scientist in SAS Advanced Analytics R&D. She holds a Master of Science and a PhD degree in Electrical and Computer Engineering from Duke University. She did clinical post-doc training in the Pulmonary and Critical Care Department at University of Virginia School of Medicine. Since joining SAS, she has primarily worked on developing features for computer vision and biomedical image processing software. She enjoys applying these computer vision methods into the real-life scenario, especially in the field of medical image analytics, to generate comprehensive image analysis pipeline and determine valuable insights of patient health.
In her first blog post, SAS' Mu He shows you how to train a convolutional neural network that can accurately detect patients with COVID-19 using the transfer learning technique.
