South Korean researchers trained Microsoft neural networks to identify common nail fungus infection better than 42 human experts

Briefing

South Korean researchers trained Microsoft neural networks to identify common nail fungus infection better than 42 human experts

March 7, 2018

Briefing

  • Nail Fungus Diagnosis – South Korean researchers developed deep neural network that diagnoses common nail fungus infection, called onychomycosis
  • AI Training – Used Microsoft deep learning algorithm Faster R-CNN to identify and crop images of affected toenails and fingernails, while Microsoft’s ResNet-152 and Oxford University’s VGG-19 model were trained with set of 50,000 images to diagnose nail fungus infections
  • AI vs Humans – Algorithms had better results compared to 42 dermatology experts in diagnosis of nail fungus
  • Publicly Available – Deep learning approach released in website and as Android mobile app for public to try and experiment with

Accelerator

Sector

Healthcare/Health Sciences, Information Technology

Source

Original Publication Date

February 26, 2018

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