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Diagnosing Diabetic Retinopathy in OCTA Images Based on Multilevel Information Fusion Using a Deep Learning Framework.

Qiaoyu LiXiao-Rong ZhuGuangmin SunLin ZhangMeilong ZhuTian TianChenyu GuoSarah MazharJin-Kui YangYu Li
Published in: Computational and mathematical methods in medicine (2022)
. The visualization results show that the FAZ and the vascular region close to the FAZ provide more information for the model than the farther surrounding area. Furthermore, this study demonstrates that a clinically sophisticated designed deep learning model is not only able to effectively assist in the diagnosis but also help to locate new indicators for certain illnesses.
Keyphrases
  • deep learning
  • diabetic retinopathy
  • convolutional neural network
  • optical coherence tomography
  • artificial intelligence
  • machine learning
  • health information
  • healthcare
  • social media
  • electron microscopy