Vision for Vision – Deep Learning in Retinal Image Analysis

#deep #learning #RetinaCheck
Share

Automated, fast and large-scale computer-aided diagnosis of medical images has become reality. The greatest breakthrough is Deep Learning. We apply these techniques in the RetinaCheck project, a large screening / early warning project for eye damage due to diabetes. In China now an alarming 11.6% of the population has developed diabetes, due to genetic factors and fast lifestyle changes. In this project large amounts of retinal fundus images are acquired, and the e-cloud deep learning system successfully learns to identify early biomarkers of retinal disease. The circle is round: we can prevent blindness by learning from the visual system: vision for vision.


  Date and Time

  Location

  Hosts

  Registration


  • Add_To_Calendar_icon Add Event to Calendar
  • POZNAN UNIVERSITY OF TECHNOLOGY
  • UL. JANA PAWŁA II 24
  • Poznan, Wielkopolskie
  • Poland 60-965
  • Room Number: 201
  • Contact Event Host

  Speakers

Bart M. ter Haar Romeny

Topic:

Vision for Vision – Deep Learning in Retinal Image Analysis

Address:Eindhoven University of Technology, Department of Biomedical Engineering, Eindhoven, Netherlands