DeepSeeNet: A deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs

Lignende værker

• A deep learning approach for automated detection of geographic atrophy from color fundus photographs
  af: Keenan, Tiarnan D., et al.
  Udgivet: (2019)
• A multi-task deep learning model for the classification of Age-related Macular Degeneration
  af: Chen, Qingyu, et al.
  Udgivet: (2019)
• Predicting risk of late age-related macular degeneration using deep learning
  af: Peng, Yifan, et al.
  Udgivet: (2020)
• Comparison of Standardized Clinical Classification with Fundus Photograph Grading for the assessment of Diabetic Retinopathy and Diabetic Macular Edema Severity
  af: Gangaputra, Sapna, et al.
  Udgivet: (2013)
• CHOROIDAL THICKNESS AND VASCULARITY VARY WITH DISEASE SEVERITY AND SUBRETINAL DRUSENOID DEPOSIT PRESENCE IN NONADVANCED AGE-RELATED MACULAR DEGENERATION
  af: KEENAN, TIARNAN D., et al.
  Udgivet: (2020)