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Application of an Anomaly Detection Model to Screen for Ocular Diseases Using Color Retinal Fundus Images: Design and Evaluation Study.

Yong HanWeiming LiMengmeng LiuZhi-Yuan WuFeng ZhangXiangtong LiuLixin TaoXia LiXiu-Hua Guo
Published in: Journal of medical Internet research (2021)
The AD approach achieved high sensitivity and specificity in detecting ocular diseases on the basis of fundus images, which implies that this model might be an efficient and economical tool for optimizing current clinical pathways for ophthalmologists. Future studies are required to evaluate the practical applicability of the AD approach in ocular disease screening.
Keyphrases
  • diabetic retinopathy
  • optical coherence tomography
  • optic nerve
  • deep learning
  • convolutional neural network
  • high throughput
  • machine learning