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A Meta-Learning Approach for Classifying Multimodal Retinal Images of Retinal Vein Occlusion With Limited Data.

Danba JiachuLi LuoMeng XieXiaoling XieJinming GuoHehua YeKebo CaiLingling ZhouGang SongFeng JiangDanqing HuangMingzhi ZhangCe Zheng
Published in: Translational vision science & technology (2024)
The proposed meta-learning models could be useful in automatically detecting RVO on CF and FA images.
Keyphrases
  • optical coherence tomography
  • diabetic retinopathy
  • deep learning
  • convolutional neural network
  • optic nerve
  • cystic fibrosis
  • electronic health record
  • big data
  • machine learning
  • artificial intelligence
  • chronic pain